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)

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

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

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 is limited to records available in those databases published 1995- . 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.

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).

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)

Please contact Bildmakarna at KI.

E-mail: bildmakarna@ki.se
Phone: 08 - 524 842 01 or 08 - 524 842 00

Since January 1st 2005 it is mandatory to e-publish doctoral theses and since January 1st 2011 it is mandatory to e-publish licentiate theses at KI.

After the defence application is accepted by the dissertation committee, you will receive an e-mail from publications@ki.se with instructions on how to proceed.

After you have uploaded you files at http://publications.ki.se, you will receive another e-mail frpn publications@ki.se telling you to go to the library (Solna or Huddinge) to finilize the e-publishing.

If you have any questions, don't hesitate to contact publications@ki.se.

15 copies of the doctoral thesis and 3 copies of the licentiate thesis. The doctoral thesis is sent to other university libraries and to whomever orders a copy.

The copies are available to anyone who is interested in your thesis. If not all copies are given out, they can be collected no later than three months after the public defence, and no earlier than one month after.

If you don't pick them up we have to discard them due to lack of space.

If you want to you can keep the copy you nailed to the wall in the library in Huddinge or Solna, but you must pick it up yourself one week after the public defence at the latest.

The Word template for theses is available in several different versions: Thesis template

The library is currently unable to provide support for the template.

You will find Bildmakarna at Campus Solna.

• Bildmakarna

E-mail: bildmakarna@ki.se
Phone: 08 - 524 842 01 or 08 - 524 842 00

Research funders like the NIH, The Swedish Research Council, Wellcome Trust and the EU Seventh Framework Programme (FP7), have all adopted open access (i.e. free online access) requirements for research publications. To help you fulfill the funders' demands an electronic open archive has been established where you may deposit full-text copies of your published articles.

If your article has been or will be published in a traditional journal we will help you find out what version and when your article can b emade available in the archive. Articles published open access can also be uploaded in the archive.

How to deposit your article:

1. Go to the Open Archive at Karolinska Institutet.
2. Choose "My page" in the menu to the left.
3. Log in using your KI-login (you don't have to register, just log in).
4. Click on the button "Submit a new publication".
5. Choose collection: "Artiklar/Articles".
6. Fill in all the required fields (Describe), click on "Next" on the bottom of the page.
7. Upload your file (Upload), click on "Next" on the bottom of the page (twice).
8. Verify that everything looks OK (Verify), click on "Next" on the bottom of the page.
9. Approve (or not) the license by clicking the appropriate button on the bottom of the page.
10. The document has been uploaded and sent to the administrators at the library.
11. Expect an e-mail from publications@ki.se containing a unique and persistent link to your document.

Questions? E-mail publications@ki.se.

BioMed Central  and SpringerOpen
As a KI researcher you get a 15% discount off the publishing fee if you publish your article open access at BioMed Central and SpringerOpen. If you submit your article from a computer within the KI network, BioMed Central will recognize your IP address and the discount will be automatically deducted. The publishing fees vary among the different BioMed Central and SpringerOpen journals.

PNAS
If you choose to publish your article open access with PNAS (Proceedings of the National Academy of Sciences), you will pay $950 instead of $1275. You will have to inform PNAS that you are a KI researcher to get the discount.

Mary Ann Liebert
If you choose to publish your article open access with Mary Ann Liebert, you will receive a 50% discount on the publishing fee ($3000). You will have to inform PNAS that you are a KI researcher to get the discount.

In KIB-labb we can help you with the search process, references and critical evaluation of sources.

KIB-labb is open Monday-Friday between 11-16 pm on drop in basis.  Just go to group room 5 in Solna or "Skansen" in Huddinge (located on the upper floor of the library). 

All KI students get an account in Ping Pong, KI´s web based learning management system. You access Ping Pong at http://pingpong.ki.se and log in with your student account.

You can also access password protected material at the courseweb, courses.ki.se,  with this login.

To help you get started please read the short manual. Once inside Ping Pong you´ll find more instructions under the heading "Help"

If you forget your login credentials for Ping Pong, please contact Lyktan helpdesk: phone +46 (0) 524 84 000; e-mail: lyktan@ki.se.

You find information about the web based evaluation tool Websurvey on the KI teacher page.