Your H index is the largest number X such that you have at least X publications with at least X citations. The H index is not directly available from the KI Bibliometric Verification Toolkit.

If you have no publications from before 1995 and have verified all your publications, you can still calculate H index from your list of verified publications in the bibliometric system.

Login and verify all your publications. (https://bibliometrics.ki.se/users/login)
Export them to Excel (or anything else that can read csv files) from the publication list in the Bibliometric Analysis Toolkit.
Sort the publications after times cited (with the most cited publications first and so on) and look in the sorted list where the number of citations is at least equal to the order number.

Example:

Order Citations
1 ......... 23
2 ......... 11
3 ......... 5
4 ......... 2
5 ......... 1

In this case, H index is 3, since publication number 3 has 5 citations (at least 3) but publication number 4 has 2 citations (less than 4).

If this seems cumbersome, or if you have publications older than 1995, you can instead get H index from Web of Science by searching all your publications and from the resulting list of publications select "Create Citation Report" (to the right above the search result to the right).

There are presently two ways that we can identify the research fields of individual articles. One is to use the Thomson Reuters journal subject field as a proxy for article content. This is very often used in bibliometric studies. But in medicine, many of the publications also have MeSH-terms, the controlled vocabulary from Medline, which are much more specific, and at Karolinska Institutet we often use these.

For publications in the intersection between the Web of Science and Medline, both citation data and detailed subject information at an article level are available. At Karolinska Institutet we often use this type of intersection to single out publications in Medicine and Life Science from all Web of Science records from other research institutions. This makes it possible to do better comparative analyses between us, as a medical university, and research institutions with more than one faculty.

By logging in to the KI Bibliometric Verification Toolkit you accept that we retrieve information (including your civic registration number) from the KI/SLL staff databases for computerized use in the Karolinska Institutet bibliometric system in accordance with the Swedish law on handling of personal data (PUL, SFS 1998:204).

This will enable us to match staff records between the Karolinska Institutet staff database (KIMKAT) and the SLL staff database (EK) and create a single KI/SLL bibliometric verification account for each user. We will not share information retrieved from the staff databases with anyone outside the KI/SLL organization. If you have any additional questions about our use of the information in KIMKAT/EK, please contact us at bibliometrics@ki.se.

If you decline this request, please contact us at bibliometrics@ki.se and inform us on how you wish your account to be handled. If you wish to have a joint KI/SLL account in the Karolinska Institutet bibliometric database, you must include both your KI-login and your HSA-id in your e-mail. If you choose not to inform us, this may result in your verified publications not being included in bibliometric analyses results.

The information we retrieve from KIMKAT/EK is:

• Login
• Unique database identifier
• First name
• Last name
• Civic registration number (Personnummer)
• E-mail address
• Organizational affiliation to department, hospital, division and clinic (where applicable)
• Affiliation Type and Role (eg. Employee, Graduate student, Research Assistant)

Owner of the Karolinska Institutet bibliometric database is the research board of Karolinska Institutet. The Karolinska Institutet University Library (Berzelius väg 7B, Solna) is responsible for developing and running the bibliometric database. Non-licensed information in the bibliometric database is subject to the principle of public access to official documents and that information is available to the general public on request. You are entitled to a print out of the information about you that is stored in the Karolinska Institutet bibliometric system (free of charge). To receive this, send a signed, written request to Karolinska Institutet University Library, Att: Malin Cantwell, Fe 200, 171 77 Stockholm.

The Karolinska Institutet University Library will, upon request by the registered person or if an error is found by the University Library in the personal data processed take steps to correct, block, restrict or erase as soon as practicable such personal data as has not been processed in accordance with the Personal Data Act or regulations issued under the Act. (For example, this may relate to incorrect data.) You may report any errors to bibliometrics@ki.se or to Karolinska Institutet University Library, Att: Malin Cantwell, Fe 200, 171 77 Stockholm who will put you in contact with the person/persons responsible for the primary data source of the incorrect data.

Read more about PUL at the data inspection. 

The system is optimized for Internet Explorer 7, Internet Explorer 8 and Mozilla Firefox. The system uses JavaScript.

An orange griffin is sometimes displayed when a user in one of the university hospitals is logged in on the KI library web site or proxy server and then tries to log in to the bibliometric verification toolkit as well.

Please close all web browser windows and then go directly to the login page of the bibliometric verification toolkit (http://bibliometrics.ki.se/users/login) without passing another KI login service.

Bibliometric indicators are calculated for each publication individually. Indicators for an individual researcher will be shown when this person logs in to the Karolinska Institutet bibliometric database. An analysis based on field normalized indicators for an individual researcher with less than 50 publications cannot be ordered by someone else.

List of indicators available through the bibliometric system (For a full list of bibliometric indicators and explanations to how they are calculated, see “Bibliometric handbook for Karolinska Institutet” and “Bibliometric indicators - definitions and usage at KI”).

• P: Number of publications identified with the current analyzed set of publications.
• At KI/SLL: Number of verified publications with a recognizable KI address (including university hospitals). Verified means that the publications in the Karolinska Institutet bibliometric database have both been identified by the researcher in question and that an organizational affiliation has been supplied by him/herself.
• C: Total number of citations
  The Total number of citations is the sum of citations (self citations included) from all publications present in the database to all verified publications for the analyzed set of publications.
• c: Number of citations to a single publication
• c_f:: Field Normalized Citation Score for a single publication
  The Item Oriented Field Normalized Citation Score normalizes the number of citations to a single verified publication by comparing it to the mean number of citations to documents of the same type, published the same year, in the same research area.
• Avg C_f: Field Normalized Citation Score Average
  The average Field Normalized Citation Score is calculated on The Item Oriented Field Normalized Citation Score for all verified publications for the current analyzed set of publications. The world average is about 1, and an indicator of for example 1.2 means that the analyzed group of articles is cited 20% above the world average. (At present the standard method of using the ISI Journal Classifications to identify the research area is being used.)
• Sum C_f: Total Field Normalized Citation Score
  The sum of all the item oriented field normalized citation scores for all verified publications for the active selection.
• P_f5%: Field Normalized Top Publications
  The indicator Field Normalized Top Publications shows the number of verified publications for the active selection that belong to the 5% most cited publications in the world. The normalization is made by comparing the number of citations to each verified publication to the 95th percentile of citation distruibution to all publications from the same year, in the same subject and of the same document type. (At present the standard method of using the ISI Journal Classifications to identify the research area is being used).
• Share P_f5%: Field Normalized Share of Top Publications
  The indicator Field Normalized Share of Top Publications shows the percentage of verified publications for the current analyzed set of publications that belong to the 5% most cited publications in the world. The normalization is made by comparing the number of citations to each verified publication to the 95th percentile of the average citations to all publications from the same year, in the same subject and of the same document type. (At present the standard method of using the ISI Journal Classifications to identify the research area is being used).
• JIF: ISI Journal Impact Factor
  The ISI Journal Impact Factor is a measure of the frequency with which the "average article" in a journal has been cited in a particular year. The ISI impact factor for a specific journal, one specific year (Y), is calculated by counting the number of citations to articles in that journal the two preceding years (Y-1 and Y-2) from publications in year Y and dividing this with the number of publications.
• ∑ JIF: Sum of ISI Journal Impact Factors
  The sum of the ISI Journal Impact Factors connected to each verified article or review in the active selection.
• Avg JIF: Average of ISI Journal Impact Factors
  The average of the ISI Journal Impact Factors connected to each verified article or review in the active selection.

Note!

No field normalized indicators are calculated for

• too recent publications (with a publication year equal to the present year or last year)
• publications belonging to fields with fewer than 30 publications per year
• publications belonging to fields with an average citation rate lower than 0,2 cites per year
• for a subset of publications less than 50 publications

Moreover, the compiled indicators are only based on publications with document type "Article" or "Review".

This is to ensure statistical stability.

In the verification toolkit each verified publication with a not too recent publication year (see note above) also displays the value of the Item Oriented Field Normalized Citation Score for that individual publication, and will if it is one of the 5% most highly cited publications from that year in its field show a text indicating this.

For a copublication analysis we use information about who wrote the article and where they were active when they wrote it as a proxy for the research institution or country involved.

However, the quality of this data in the Web of Science is limited. Different people may publish under the same name, and some researchers (especially those with a double family name) may be published under many different name forms. Also the quality of addresses may bee of varying level with dozens of different versions of for example Karolinska Institutiet.

Using the information in the addresses field, we can for instance look at co-publication at the country level. This kind of list is useful when assessing the level of international collaboration.

We can also look at the different authors in the publications and list the most frequent co-authors. Combining author and address information, we can also see who at Karolinska Institutet publish together with which organizations in one specific country or within any other subset of publications we can define, such as a subject field or a specific set of journals.

Using the information in the addresses field, we can look at co-publication at the organizational level, for example all KI publications together with Chinese organizations. This kind of analysis is useful for finding potential organizations for a formalized cooperation, or to evaluate already active cooperation agreements.

Within Karolinska Institutet we can use the higher data quality ensured by the verification process where we get to know the different namestrings to an individual researcher and the standardized affiliation of every publication in order to do copublication analysis with much more detail than otherwise possible.

There are presently two ways that we can identify the research fields of individual articles. One is to use the Thomson Reuters journal subject field as a proxy for article content. This is very often used in bibliometric studies. But in medicine, many of the publications also have MeSH-terms, the controlled vocabulary from Medline, which are much more specific, and at Karolinska Institutet we often use these.

An analysis of the journal categories of a unit’s/persons publications gives an indication of in which areas the analyzed unit is active. From this type of analysis, it is also possible to identify the type of audience that can be expected to read, and potentially cite the publications. It can be used as the basis for a discussion about whether this is where you want to publish and be seen.

An analysis of the MeSH-terms is much more specific and can help you see how your publications are shown in an international database like Medline, ie what other researchers need to search for in order to find your publications. If you don’t know the analyzed group, you can see what major and peripheral aspects of research the group is involved in for instance for your Institution/clinic.

Combined with information about individual authors and/or organizations we can produce maps that show what factions co-publish in which certain areas.

At present, the bibliometric database is directly based on the Web of Science databases produced by Thomson Reuters and Medline. The system is limited to records available in those databases from 1995 and forward. Articles indexed by PubMed or any other database are at the moment available only if they are also included in the Web of Science databases or Medline.

The Web of Science web interface also includes proceedings papers. These are not available in the Karolinska Institutet bibliometric system.

The primary aim of the Karolinska Institutet/SLL bibliometric database is to furnish Karolinska Institutet/SLL managers, departments/clinics and employees with high quality bibliometric analyses and reports (regarding e.g. publication patterns, co-publication partners and/or by-subject breakdowns). The results provide overviews of the research being conducted by KI/SLL researchers as well as tools that enable scientific results to be compared internally and with the work being done in other countries. Analyses results can also be used to follow up and plan activities, and sometimes even to assess and reward scientific quality.

The incentives from the board of research for publishing could be condensed to:

• Before you publish, do a little background research into the journal to which you intend to submit your article; it should be included in the Web of Science index.
• Check the journal’s impact factor and consider whether you can choose one with a higher value.
• One high-cited article usually gives better returns on the bibliometric indicators than several low-cited articles.
• Verify all your publications. It is essential to the quality of the database, and there is an explicit intention for the choice of bibliometric model to be such that the verification of all your publications has an aggregate positive effect.

Read the full recommendations (PDF).
 

Recommendations

the use of bibliometric
indicators at an individual level

Within Karolinska Institutet and the Stockholm County council (SLL) there are recommendations for if and how bibliometric methods should be used with data for individual researchers.

Bibliometric methods are less suitable for the assessment of individuals or smaller groups. It is unusual for these to achieve a publication quantity sufficient for the results to be reliable and stable. It is also important that analyses methods do not create undesirable incentives for publication and verification behaviour, and one expressed intention with bibliometric analyses within KI/SLL is that verification of a publication should never be counterproductive for an individual researcher. With good knowledge of the limitations existing at the level of the individual, certain bibliometric measures can also be used to supplement visual inspection of a publication list.

Read the full recommendations concering the use of bibliometric indicators at an individual level.

It is possible, and desirable, for authors to verify all of their publications, also when written at other organizations than Karolinska Institutet/SLL. This is because two different types of analyses may be of value in different situations.

The internationally more common type of analysis, the “organization-based” analysis, uses knowledge about where the publications were written. It mirrors everything done by an organization during a certain time. This is the method of choice if one wishes to study the development over time of a specific research environment such as a university.

An organization based analysis of one individual Karolinska Institutet author will include the publications that he/she wrote while active at Karolinska Institutet. At Karolinska Institutet/SLL data for this type of analysis comes either from the authors' addresses as written on the publications or from the addresses that the authors supplied when they verified the publication in the bibliometric system.

An “author-based” analysis includes all publications written by researchers presently affiliated to the analyzed organization, regardless of where they were active when they wrote it. This more accurately mirrors the current research potential of the organization and is therefore the method used for many bibliometric analyses within Karolinska Institutet.

At Karolinska Institutet/SLL data for this type of analysis comes from the authors' current affiliations according to the staff catalogues KIMKAT and EK."

You can search for a journal's impact factor in the database Journal Citation Reports (JCR)

You can log in with either a KI-login (KI) or a HSA-id (SLL). Choose which option you want to use by clicking the either the KI Login button or the SLL Login button on the login page.

KI-login: The Karolinska Institutet IT Centrum offers e-mail accounts, KI-login and VPN (Virtual Private Network) http://intra.ki.se/it/kiid/index_en.html.

HSA-id: SLL uses a login name of 4 characters called HSA-id for most SLL-systems. To be able to login to the bibliometric system you also have to use one of two authentication options

• a card reader connected to your computer
• a temporary authentication code via SMS (If you do not have your mobile phone number registered in EK you will have to contact your local EK-administrator and get your number registered first)

It's safe to click Yes here. If you click No the export to Excel will not open.

Information about the use of bibliometrics in the allocation of research funds from KI/SLL to departments/clinics is available at Bibliometrics at Karolinska Institutet and Stockholm County Council

Return to home from the user profile site.

Look at your user profile by clicking on "My profile" to the right of this icon. Here you can update your profile by adding or removing alternative name forms for searching in the KI bibliometric database.

Help window opens up in a new window.

Let the system autogenerate a publication list based on your name(s). Then you can choose from these suggestions and either confirm or decline the listed publications.

If you know your publication ids in PubMed (PMID), this is the easiest way to find them. NOTE! The search is only made in KI bibliometric database and not all PMID:s will therefore result in a match.

Search the database for your publications. You can search on words in the article title, author, address, journal and year.

Place the cursor over this icon for a useful tip/information.

Add selected publication(s) to your list of publications to verify, shown in the tab called "Written where".

Permanently remove selected publication(s) from the autogenerated list of publications.

Confirmed publication with supplied address information. NOTE! Verified publications cannot be removed. Address information cannot be removed or changed - but new address information can be added.

Confirmed publication with no supplied address information. Please supply information about where you were doing your research when the publication was written.

Permanently remove selected publication(s) from your list of publications to verify, shown in the tab called "Written where".

Your total number of publications. You can let the bibliometric system know your total number of publications 1995- to help us assess analysis quality and database coverage.

A warning that parts of your verification process is incomplete.

Your field of research. Once a year you have to tell the bibliometric system within witch field(s) of science you conduct your research. This will not affect any calculations of the bibliometric indicators.

Medline is the greater part of PubMed but is limited to a more controlled subset. For instance publications that is not about medicine may be covered by Pubmed but not Medline. More information on the difference between PubMed and Medline can be found on nlm:s web page.

Between 2007 and 2011 it was possible to address Karolinska Institutet publications to not only departments, but also KI networks and research units. Since an analysis on this data was never requested during the period, it was decided that the addressing process could be simplified by removing this option.

If you at some point entered this information for your publications, it still exists although hidden in the user interface. If you wish to see what group/network addressing information we have for your publications, send an email to ub@ki.se and we'll mail it back to you.

The My profile page shows the information about you that is known by the bibliometric system. Some is imported from the Karolinska Institutet and SLL staff catalogues KIMKAT and EK, but some can be entered or changed by you directly in the bibliometric system.

My names
The My names section shows the namestrings that we use to locate you as an author on the publications in the database. The primary use is to simplify for you to find your publications via the auto suggestion list on the first page, but sometimes they are also used in analyses to identify your place in the author list.

Your primary namestring is automatically generated from KIMKAT or EK. This cannot be deleted or changed by you and is for technical reasons not updated automatically even if changed in KIMKAT/EK, so if you do not publish under the name listed here you need to contact the university library to have it changed (ub@ki.se).

Add alternative namestrings
Under Add alternative namestrings you can add any other names that you've published under. This is for example advisable if you have a middle initial on some of your publications, if you have a double family name (with or without hyphen) or if you have changed your family name during your career as a researcher.

By default, searches based on namestrings are limited to publications with Sweden somewhere in the address field. You can remove this limit on namestrings if you wish (for example if you've published while at another university).

My affiliation
This information is retrieved from the Karolinska Institutet and SLL staff catalogues KIMKAT and EK. If the information is incorrect you have to contact your local KIMKAT/EK-administrator to get it changed. For SLL-affiliations you can choose to uncheck your active affiliation(s) as research affiliations.

My Field of Science(s)
Once a year you have to select/update/confirm at least one current research field according to the 2011 SCB/HSV standard. This information is requested by the board of research as a part of the quality strengthening work at Karolinska Institutet.
More information

Since August 2011 it is mandatory to enter the field(s) of science for your current research according to the 2011 SCB/HSV standard in the bibliometric verification toolkit.

This information is requested by the board of research as a part of the quality enhancing work at Karolinska Institutet. It is a tool which will help KI measure the output of Karolinska Institutet per reseach area in coming evaluations.

You may supply up to three different fields of research, and therefore you must rank them as 1 to 3 with 1 being your primary field.The information has to be confirmed or updated at least once a year but may be updated as often as you wish.

Information about the standard  is available (in Swedish only) at the Swedish National Agency for Higher Education

All researchers at Karolinska Institutet/SLL are regularly requested to verify their publications in the Karolinska Institutet bibliometric system. A detailed walkthrough is available trough the links below.

Attached files: 

Instructions for verifying (en),

Instruktioner för verifiering (sv).

Yes. You should supply the addresses of all the research organizations where you were active when you produced each individual publication. However, you should NOT enter the addresses of your coauthors.

Here is how you do it:

1. Mark the checkbox to the left of all publications that should receive the same address.
2. Choose one organizational unit from the drop down menus (For exemple: Karolinska Institutet; Department of Medicine, Solna; KI Circulation and Respiration; Walldius, Göran).
3. Click on the button 'Verfy publication(s)'.
4. Mark the checkbox to the left of all publications that should receive the next address.
5. Choose the second organizational unit from the drop down menus (For example: Stockholms läns landsting (SLL); Karolinska Universitetssjukhuset; Hjärtkliniken)
6. Click on the button 'Verify publication(s)"

Go back and redo step 1-3 to supply another address and so on.

At present, the bibliometric database is directly based on the Web of Science databases produced by Thomson Reuters and Medline. The system is limited to records available in those databases from 1995 and forward. Articles indexed by PubMed or any other database are at the moment available only if they are also included in the Web of Science databases or Medline.
The Web of Science web interface also includes proceedings papers. These are not available in the Karolinska Institutet bibliometric system.

To make sure that the publication is not in the bibliometric database, try and search the publication with each and one of the three tools. If you still can't find it - is it a recent article? It may take anything between a couple of weeks to several months after publication until an article is indexed in the Web of Science, a fact that will be mirrored by this database. Records in Medline are generally indexed much faster.

If you still cannot find your publication, contact us at ub@ki.se and let us help you.

The autogenerated list is based on the name strings in your user profile: primary namestring and alternative namestring(s). Since this may for some researchers with common names result in extremely many hits, the system filters out publications that don't have Sweden in the address information.

Click on Edit my names to add namestrings and/or uncheck the limit to Sweden.

Note: The list of names should only include varieties of your own name, not any of your coauthors, since this may affect analyses results.

No.

Regardless of how you log in, you will access the same profile in the verification toolkit. We match your username to both organizations to avoid duplicate user accounts.

If you check your profile under My profile you can see if we have connected you to KI and/or SLL and to what clinic/department. If any of your affiliations is missing the page contains instructions on how to fix this.

However, when you supply the address to where you were active when the publications were produced (the Written at tab) you should be careful to supply both addresses when appropriate.

This information is retrieved from the Karolinska Institutet and SLL staff catalogues KIMKAT and EK.

Information in the bibliometric database about organizational affiliation is updated once a day which means it can take 24 hours for any change in KIMKAT/EK to take effect.

If the error persists more than a few days, please contact your local KIMKAT administrator/EK-administrator to check that the information about  you in those systems is correct. If the information is correct in KIMKAT/EK, please send an email to ub@ki.se and we'll help you find out what's wrong.

Please contact the University Library customer services, ub@ki.se, 08-524 84000.

If you clicked on the decline icon , you can still find the publication and confirm it as yours with one of the other tools.

If you clicked on the remove icon ,  you can search for the publication with the Free text search tool or the PMID-tool and retrieve it that way.

Only publications covered in Medline 1995- can be found with the The PubMed Id search in the verification toolkit, not in PubMed. Medline is the greater part of PubMed but is limited to a more controlled subset. For instance publications that is not about medicine may be covered by Pubmed but not Medline. More information on the difference between PubMed and Medline can be found on NLM:s web page:
 http://www.nlm.nih.gov/pubs/factsheets/dif_med_pub.html

To make sure that the publication is really missing in the bibliometric system, please try and retrieve the record with a free text search.

Yes. Please verify all your publications written since 1995 and specify which organisation you belonged to at the time.

You do not need to use wildcards in your search. The system automatically searches for the truncated name, for instance if you type  Anders  in the search box both  Anders  and  Andersson  will be found.

Yes, we recommend that you verify your publications of all document types. You do not have to worry that abstracts, corrections and other document types will affect your citation indicators, such as the field normalized citation score. Such indicators are only calculated on the document types Articles and Reviews, and in some cases also Letters and Notes.

In all bibliometric analyses at Karolinska Institutet we make certain that verifying a publication should not negatively affect the individual researchers results. One way of achieving this is for example to only use the five or fifteen publications with the highest indicator values when calculating averages.

To be statistically valid, field normalized indicators need to be based on a minimum of 50 publications. If your selection has less than 50 verified publications for the analyzed period, no value for these indicators will be shown. If you chose to group the results by year you can analyze the trends of different indicators at the cost of precision. The smaller the sample the more inaccurate is the calculated indicator, especially for field normalized indicators. For a sample size of 100 publications the yearly variation of the field normalized citation rate has been estimated to about 0.2 units for a stable research environment.

Java scripting needs to be activated for the bibliometric web to work and display correctly, especially graphs.

This is often prevented by high security settings in your web browser.

If you are allowed to change the settings yourself, reset the settings to Default level (medium-high).

(In Internet Explorer you will find these settings under Tools > Internet Options > Security > Custom level...)

If you wish to keep your high security settings, you can choose to enable only "active scripting" and "binary script behavior".

When you log in to the bibliometric system we collect information about the different affiliations you have in the two staff catalouges, KIMKAT (KI) and EK (SLL). The collected information is displayed in "My Profile" at My verification toolkit. You can only see analysis results for yourself as a person and you are resricted to wiewing bibliometric aggregated data for your affiliated institution/clinic or the entire affiliated organization KI or SLL. If you are a Head of departement/Head of administration at KI or Head of reasearch and development at SLL you will be presented other possibilites. 

A boxplot graphically shows groups of numerical data through their five-number summaries: the smallest observation, lower quartile, median, upper quartile, and largest observation. The spacing between the different parts of the box help indicate the spread and skewness in the data. Here you can see a statistical summary of the indicators of your publications compared to those of your organisation.

The decentile bars show average indicator values divided into decentiles within your organisation. The bars consist of the same number of authors grouped according to their indicator value. The marked bar indicates the decentile where your own value is present. If the bar with the highest value is filled that means that your indicator value is among the 10% highest ranked reasearcher in KI according to the selected indicator and yearspan.

To reduce the biases of career age and sheer size of publication sample for a research er/constellation it is sometimes valid to calculate some indicators based on the 5, 10 or 15 publications with the highest indicator values for that specific indicator. For example, the indicator Citation average (C/P) can be calculated on the most highly cited publications for each person. In the bibliometric analysis toolkit the result show how highly cited your 5, 10 or 15 top publications are compared to top publications by other researchers at Karolinska Institutet/SLL. The purple bars show in which decentile you can be found based on the average number citations to your top publications. You can also see the average value for each decentile.

In the table of co-authors all unique name strings are considered as unique authors. If you add alternative name strings however, such as historical surnames, in your profile, they disappear in the list of co-publication authors. If you find a name string in the list that belongs to you, you should probably add that to your profile to get better automated guesses on publications to verify.

Presently we only include data from Web of Science from 1995- in our system. Furthermore we only include results based on original articles and review articles that have been verified in our system in these lists.