The Local Journal Utilization Report (LJUR) in InCites is primarily aimed at supporting collection development decisions and quantitative evaluation of journals. It is a system report with six tiles that help libraries identify the most valuable journals, based on the citing and cited relationships between an organization's published work and the world's leading scholarly and scientific journals. LJUR includes data from 2006-present and explores the following questions:
Tile 1: In which journals do my organization's authors outperform the average journal citation rate?
Use this tile to find out where your papers perform particularly well. This information can help support current journal subscriptions or back up future acquisition decisions. The journals in this tile are ranked by the Journal Normalized Citation Impact (JNCI) score of your organization's research in that publication.
JNCI for a paper is the ratio of the actual number of citations to the average citation rate of papers in the same journal in the same year and with the same document type. The JNCI for a set of publications is the average of the JNCI for each publication.
Click on the cog icon in the upper right hand corner to view the underlying data and change filters and thresholds.
Example: As a group, Cornell University's papers published in Radiocarbon performed above the average citation rate for the journal, taking into account document type and year published.
Tile 2: In which journals do my organization's authors publish most frequently?
This tile shows you the top five journals, in which your authors published, based on total documents in each. The trend graph displays the number of papers from your authors by year. Publishing trends like these can help you determine which journals are most valuable to your researchers. Drill down to filter by a specific research area or publisher.
Tile 3: Which journals are your organizations's authors citing?
Cited journals in this tile are ranked by the number of papers in the journal that were cited by your researchers. You are looking at papers that were published from 2006-present that were cited by your institution's research published from 2006-present. This tile can help you identify journals that play a critical role in your authors' research.
Example: Cornell University authors have cited 5,184 Journal of Biological Chemistry papers from 2006 to present.
Tile 4: Are your authors citing recent or older material from that journal?
This tile shows the same top cited journals from the previous tile, but the year refers to the publication year of the cited paper in the journal. This information can help you understand the depth of content cited by your authors and inform decisions about what years of publication you want to make available.
Example: Cornell University authors have cited 168 papers that were published in the Journal of Biological Chemistry in 2014.
Tile 5: Which journals are citing your organization's authors?
This tile shows the number of papers from each journal that cited your organization's research. You are looking at papers that were published in the journal from 2006-present that cited your institution's research from 2006-present. You may want to compare the journals in this tile with the titles in tile 3: Are these the same journals that your authors cite the most?
Example: 24,615 papers from PLOS ONE cited Cornell University papers from 2006 to present.
Tile 6: Are your authors being cited by recent or older material?
This tile shows the same citing journals from the previous tile, but here you can see the number of papers published in a journal in a particular year that cited your organization's research from any year in the LJUR report. How old are the citing articles from that citing journal? You may want to provide access to articles that are building on your researchers' work.
Example: 3,638 articles published in PLOS ONE in 2011 cited Cornell University research from 2006 onward.
Cited Half-Life looks at the citations that a journal receives (incoming citations) in the current JCR data year. This metric can help you understand the age of publications, that are currently getting cited. Journals can receive citations in one JCR year to anything that they have ever published, and the Cited Half-Life helps you understand how far back researchers go, when they cite that journal.
The Cited Half-Life is the median age of a journal's articles that were cited in the JCR year. Half of a journal's cited articles were published more recently than the Cited Half-Life. For example, a 2015 Cited Half-Life value of 7.0 for Journal X means that half of the Journal X papers that were cited in 2015 were published in the last 7 years.
This information can help you assess backfile purchases for a journal. Cited Half-Life is displayed in the Key Indicators table on a journal profile page, and it can be added to a journal ranking on the JCR homepage.
Navigate to the Cited Journal Data section to view the specific journals contributing citations to the parent journal. The Cited Half-Life Data in the Cited Journal Data section shows you the number of citations in the citing year that went to journal content published in a particular cited year. Below the raw number of citations, a cumulative percentage is displayed. This shows you the percentage of total citing year citations that have been accrued as you move backward in time.
Example: This journal's 2015 (cited year) source material was cited 3,485 times in 2017 (citing year). The total citations to the journal's 2015-2017 content makes up 19.12% of 2017 citations to the journal. When you reach the cumulative percentage mark of 50%, you have reached the Cited Half-Life for the journal.
The Cited Journal Data graph is a visualization of the Cited Half-Life Data. The stacked column shows the number of citations occurring in the citing year to the cited year's journal content. The yellow portion of the column refers to the number of self-citations in that total count. The Cited Half-Life is marked by the grey line.
The Cited Journal Data table reveals the relationships between the citing journals and the selected cited journal. Impact refers to the Impact Factor score for the citing journal. The All Yrs column shows you the total number of citations coming from each journal in the citing year. That citation count is then broken down by cited year.
Example: PLOS ONE cited our selected journal 906 times in 2017. Those citations referenced material published in any year within the journal's backfile. This table shows me that 105 of the 2017 citations from PLOS ONE cited 2014 papers from the selected cited journal, and 77 of the 2017 citations from PLOS ONE went to 2015 papers.