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The impact factor (IF) of an academic journal is a measure reflecting the yearly average number of citations to recent articles published in that journal. It is frequently used as a proxy for the relative importance of a journal within its field, with journals with higher impact factors deemed to be more important than those with lower ones. The impact factor was devised by Eugene Garfield, the founder of the Institute for Scientific Information. Impact factors are calculated yearly starting from 1975 for those journals that are indexed in the Journal Citation Reports.
In any given year, the impact factor of a journal is the average number of citations received per paper published in that journal during the two preceding years.[not in citation given] For example, if a journal has an impact factor of 3 in 2008, then its papers published in 2006 and 2007 received 3 citations each on average in 2008. The 2008 impact factor of a journal would be calculated as follows:
- A = the number of times that all items published in that journal in 2006 and 2007 were cited by indexed publications during 2008.
- B = the total number of "citable items" published by that journal in 2006 and 2007.
(Note that 2008 impact factors are actually published in 2009; they cannot be calculated until all of the 2008 publications have been processed by the indexing agency.)
New journals, which are indexed from their first published issue, will receive an impact factor after two years of indexing; in this case, the citations to the year prior to Volume 1, and the number of articles published in the year prior to Volume 1 are known zero values. Journals that are indexed starting with a volume other than the first volume will not get an impact factor until they have been indexed for three years. Occasionally, Thomson Reuters assigns an impact factor to new journals with less than two years of indexing, based on partial citation data. Annuals and other irregular publications sometimes publish no items in a particular year, affecting the count. The impact factor relates to a specific time period; it is possible to calculate it for any desired period, and the Journal Citation Reports (JCR) also includes a five-year impact factor. The JCR shows rankings of journals by impact factor, if desired by discipline, such as organic chemistry or psychiatry.
It is possible to examine the impact factor of the journals in which a particular person has published articles. This use is widespread, but controversial. Garfield warns about the "misuse in evaluating individuals" because there is "a wide variation from article to article within a single journal". Impact factors have a large, but controversial, influence on the way published scientific research is perceived and evaluated.
Some companies are producing false impact factors.
Numerous criticisms have been made of the use of an impact factor. For one thing, the impact factor might not be consistently reproduced in an independent audit. There is a more general debate on the validity of the impact factor as a measure of journal importance and the effect of policies that editors may adopt to boost their impact factor (perhaps to the detriment of readers and writers). Other criticism focuses on the effect of the impact factor on behavior of scholars, editors and other stakeholders. Another reason that can invalidate this technique is that there is a general tendency on the part of a citing individual to be influenced by the already indicated IF. Others have criticized the impact factor more generally on the institutional background of the neoliberal academia, claiming that what is needed is not just its replacement with more sophisticated metrics but a democratic discussion on the social value of research assessment and the growing precariousness of scientific careers.
Validity as a measure of importance
It has been stated that impact factors and citation analysis in general are affected by field-dependent factors which may invalidate comparisons not only across disciplines but even within different fields of research of one discipline. The percentage of total citations occurring in the first two years after publication also varies highly among disciplines from 1–3% in the mathematical and physical sciences to 5–8% in the biological sciences. Thus impact factors cannot be used to compare journals across disciplines.
The impact factor is based on the arithmetic mean number of citations per paper, yet citation counts have highly skewed distributions, making the arithmetic mean a potentially misleading measure of the typical impact of individual articles in the given journal. For example, about 90% of Nature's 2004 impact factor was based on only a quarter of its publications, and thus the actual number of citations for a single article in the journal is in most cases much lower than the mean number of citations across articles. Furthermore, the strength of the relationship between impact factors of journals and the citation rates of the papers therein has been steadily decreasing since articles began to be available digitally.
This problem is exacerbated when the use of impact factors is extended to evaluate not only the journals, but the papers therein. The Higher Education Funding Council for England was urged by the House of Commons Science and Technology Select Committee to remind Research Assessment Exercise panels that they are obliged to assess the quality of the content of individual articles, not the reputation of the journal in which they are published. The effect of outliers can be seen in the case of the article "A short history of SHELX", which included this sentence: "This paper could serve as a general literature citation when one or more of the open-source SHELX programs (and the Bruker AXS version SHELXTL) are employed in the course of a crystal-structure determination". This article received more than 6,600 citations. As a consequence, the impact factor of the journal Acta Crystallographica Section A rose from 2.051 in 2008 to 49.926 in 2009, more than Nature (at 31.434) and Science (at 28.103). The second-most cited article in Acta Crystallographica Section A in 2008 only had 28 citations.
A.E. Cawkell, sometime Director of Research at the Institute for Scientific Information remarked that the Science Citation Index (SCI), on which the impact factor is based, ″would work perfectly if every author meticulously cited only the earlier work related to his theme; if it covered every scientific journal published anywhere in the world; and if it were free from economic constraints.″
Editorial policies that affect the impact factor
A journal can adopt editorial policies to increase its impact factor. For example, journals may publish a larger percentage of review articles which generally are cited more than research reports. Thus review articles can raise the impact factor of the journal and review journals will therefore often have the highest impact factors in their respective fields. Some journal editors set their submissions policy to "by invitation only" to invite exclusively senior scientists to publish "citable" papers to increase the journal impact factor.
Journals may also attempt to limit the number of "citable items"—i.e., the denominator of the impact factor equation—either by declining to publish articles (such as case reports in medical journals) that are unlikely to be cited or by altering articles (by not allowing an abstract or bibliography) in hopes that Thomson Scientific will not deem it a "citable item". As a result of negotiations over whether items are "citable", impact factor variations of more than 300% have been observed. Items considered to be uncitable—and thus are not incorporated in impact factor calculations—can, if cited, still enter into the numerator part of the equation despite the ease with which such citations could be excluded. This effect is hard to evaluate, for the distinction between editorial comment and short original articles is not always obvious. For example, letters to the editor may refer to either class.
Another less insidious tactic journals employ is to publish a large portion of its papers, or at least the papers expected to be highly cited, early in the calendar year. This gives those papers more time to gather citations. Several methods, not necessarily with nefarious intent, exist for a journal to cite articles in the same journal which will increase the journal's impact factor.
Beyond editorial policies that may skew the impact factor, journals can take overt steps to game the system. For example, in 2007, the specialist journal Folia Phoniatrica et Logopaedica, with an impact factor of 0.66, published an editorial that cited all its articles from 2005 to 2006 in a protest against the "absurd scientific situation in some countries" related to use of the impact factor. The large number of citations meant that the impact factor for that journal increased to 1.44. As a result of the increase, the journal was not included in the 2008 and 2009 Journal Citation Reports.
Coercive citation is a practice in which an editor forces an author to add extraneous citations to an article before the journal will agree to publish it, in order to inflate the journal's impact factor. A survey published in 2012 indicates that coercive citation has been experienced by one in five researchers working in economics, sociology, psychology, and multiple business disciplines, and it is more common in business and in journals with a lower impact factor. However, cases of coercive citation have occasionally been reported for other scientific disciplines.
Because "the impact factor is not always a reliable instrument", in November 2007 the European Association of Science Editors (EASE) issued an official statement recommending "that journal impact factors are used only—and cautiously—for measuring and comparing the influence of entire journals, but not for the assessment of single papers, and certainly not for the assessment of researchers or research programmes".
In July 2008, the International Council for Science (ICSU) Committee on Freedom and Responsibility in the Conduct of Science (CFRS) issued a "statement on publication practices and indices and the role of peer review in research assessment", suggesting many possible solutions—e.g., considering a limit number of publications per year to be taken into consideration for each scientist, or even penalising scientists for an excessive number of publications per year—e.g., more than 20.
In February 2010, the Deutsche Forschungsgemeinschaft (German Research Foundation) published new guidelines to evaluate only articles and no bibliometric information on candidates to be evaluated in all decisions concerning "performance-based funding allocations, postdoctoral qualifications, appointments, or reviewing funding proposals, [where] increasing importance has been given to numerical indicators such as the h-index and the impact factor". This decision follows similar ones of the National Science Foundation (US) and the Research Assessment Exercise (UK).
In response to growing concerns over the inappropriate use of journal impact factors in evaluating scientific outputs and scientists themselves, the American Society for Cell Biology together with a group of editors and publishers of scholarly journals created the San Francisco Declaration on Research Assessment (DORA). Released in May 2013, DORA has garnered support from thousands of individuals and hundreds of institutions, including in March 2015 the League of European Research Universities (a consortium of 21 of the most renowned research universities in Europe), who have endorsed the document on the DORA website.
Some related values, also calculated and published by the same organization, include:
- Cited half-life: the median age of the articles that were cited in Journal Citation Reports each year. For example, if a journal's half-life in 2005 is 5, that means the citations from 2001-2005 are half of all the citations from that journal in 2005, and the other half of the citations precede 2001
- Aggregate impact factor for a subject category: it is calculated taking into account the number of citations to all journals in the subject category and the number of articles from all the journals in the subject category
- Immediacy index: the number of citations the articles in a journal receive in a given year divided by the number of articles published.
For example, the 2005 has immediacy index for a journal would be calculated as follows:
- 2005 immediacy index = A/B
- A = the number of times articles published by the journal in 2005 were cited in indexed journals during 2005
- B = the number of articles, reviews, proceedings or notes published by the journal in 2005
Other measures of impact
Additional journal-level metrics are available from other organizations. The measures above apply only to journals, not individual scientists, unlike researcher-level metrics such as the H-index. Article-level metrics measure impact at an article level instead of journal level. Other more general alternative metrics, or "altmetrics", may include article views, downloads, or mentions in social media.
Fake impact factors are produced by companies not affiliated with Thomson Reuters (TR). These are often used by predatory publishers. Consulting TR's master journal list can confirm if a publication is indexed by TR, which is a necessary (but not sufficient) condition for obtaining an IF.
- "Introducing the Impact Factor". Retrieved 2009-08-26.
- blogs.rsc.org. "RSC Advances receives its first partial impact factor", June 24, 2013. Retrieved on May 21st 2015.
- news.cell.com. "Our first (partial) impact factor and our continuing (full) story", July 30th, 2014. Retrieved on May 21st 2015.
- "JCR with Eigenfactor". Retrieved 2009-08-26.
- "Web of Knowledge > Real Facts > Quality and Quantity". Retrieved 2010-05-05.
- "Thomson Reuters Master Journal List". Thomson Reuters. Retrieved 2013-06-20.
- Eugene Garfield (June 1998). "The Impact Factor and Using It Correctly". Der Unfallchirurg 101 (6): 413–414. PMID 9677838.
- "The story of fake impact factor companies and how we detected them". Electron Physician. Jun 5, 2015. doi:10.14661/2015.1069-1072 (inactive 2016-01-10).
- "European Association of Science Editors (EASE) Statement on Inappropriate Use of Impact Factors". Retrieved 2012-07-23.
- Rossner, M., Van Epps, H., Hill, E. (17 December 2007). "Show me the data". Journal of Cell Biology 179 (6): 1091–2. doi:10.1083/jcb.200711140. PMC 2140038. PMID 18086910.
- Wesel, M. van (2016). "Evaluation by Citation: Trends in Publication Behavior, Evaluation Criteria, and the Strive for High Impact Publications". Science and Engineering Ethics 22 (1): 199–225. doi:10.1007/s11948-015-9638-0.
- Moustafa, Khaled (2015). "The disaster of the impact factor". Science and Engineering Ethics 21 (1): 139–142. doi:10.1007/s11948-014-9517-0. PMID 24469472.
- Brembs, B.,; Button, K.; Munafò, M. (2013). "Deep impact: Unintended consequences of journal rank.". Frontiers in Human Neuroscience 7 (291): 1–12. doi:10.3389/fnhum.2013.00291.
- Kansa, E. (2013, December 11). It’s the neoliberalism, stupid: Why instrumentalist arguments for open access, open data, and open science are not enough. http://blogs.lse.ac.uk/impactofsocialsciences/2014/01/27/its-the-neoliberalism-stupid-kansa/
- Cabello, F.; Rascón, M.T. (2015). "The Index and the Moon. Mortgaging Scientific Evaluation.". International Journal of Communication 9: 1880–1887 http://ijoc.org/index.php/ijoc/article/view/3629/1407.
- Bornmann, L.; Daniel, H. D. (2008). "What do citation counts measure? A review of studies on citing behavior". Journal of Documentation 64 (1): 45–80. doi:10.1108/00220410810844150.
- Anauati, Maria Victoria and Galiani, Sebastian and Gálvez, Ramiro H., Quantifying the Life Cycle of Scholarly Articles Across Fields of Economic Research (November 11, 2014). Available at SSRN: http://ssrn.com/abstract=2523078
- Erjen van Nierop (2009). "Why Do Statistics Journals Have Low Impact Factors?". Statistica Neerlandica 63 (1): 52–62. doi:10.1111/j.1467-9574.2008.00408.x.
- Joint Committee on Quantitative Assessment of Research (12 June 2008). "Citation Statistics" (PDF). International Mathematical Union.
- "Not-so-deep impact". Nature 435 (7045): 1003–1004. 23 June 2005. doi:10.1038/4351003b. PMID 15973362.
- Lozano, George A.; Larivière, Vincent; Gingras, Yves (2012). "The weakening relationship between the impact factor and papers' citations in the digital age". Journal of the American Society for Information Science and Technology 63 (11): 2140–2145. doi:10.1002/asi.22731.
- "House of Commons – Science and Technology – Tenth Report". 2004-07-07. Retrieved 2008-07-28.
- Grant, Bob (21 June 2010). "New impact factors yield surprises". The Scientist. Retrieved 31 March 2011.
- "What does it mean to be #2 in Impact?", Thomson Reuters Community.
- Serenko, A., Dohan, M. (2011). "Comparing the expert survey and citation impact journal ranking methods: Example from the field of Artificial Intelligence" (PDF). Journal of Informetrics 5 (4): 629–648. doi:10.1016/j.joi.2011.06.002.
- Seglen, P. O. (1997). "Why the impact factor of journals should not be used for evaluating research". BMJ 314 (7079): 498–502. doi:10.1136/bmj.314.7079.497. PMC 2126010. PMID 9056804.
- "EASE Statement on Inappropriate Use of Impact Factors". European Association of Science Editors. November 2007. Retrieved 2013-04-13.
- "Editorial". J. Biol. Phys. Chem. 9 (4): 139–40. 2009.
- Monastersky, Richard (14 October 2005). "The Number That's Devouring Science". The Chronicle of Higher Education.
- Arnold, Douglas N.; Fowler, Kristine K. (2011). "Nefarious Numbers". Notices of the American Mathematical Society 58 (3): 434–437. arXiv:1010.0278. Bibcode:2010arXiv1010.0278A.
- Garfield, Eugene (20 June 1994). "The Thomson Reuters Impact Factor". Thomson Reuters.
- Moustafa, Khaled (2014). "The disaster of the impact factor". Science and Engineering Ethics 21 (1): 139–142. doi:10.1007/s11948-014-9517-0. PMID 24469472.
- PLoS Medicine Editors (6 June 2006). "The Impact Factor Game". PLoS Medicine 3 (6): e291. doi:10.1371/journal.pmed.0030291. PMC 1475651. PMID 16749869.
- Agrawal, A. (2005). "Corruption of Journal Impact Factors" (PDF). Trends in Ecology and Evolution 20 (4): 157. doi:10.1016/j.tree.2005.02.002. PMID 16701362.
- Fassoulaki, A., Papilas, K., Paraskeva, A., Patris, K. (2002). "Impact factor bias and proposed adjustments for its determination". Acta Anaesthesiologica Scandinavica 46 (7): 902–5. doi:10.1034/j.1399-6576.2002.460723.x. PMID 12139549.
- Schuttea, H. K., Svec, J. G. (2007). "Reaction of Folia Phoniatrica et Logopaedica on the Current Trend of Impact Factor Measures". Folia Phoniatrica et Logopaedica 59 (6): 281–285. doi:10.1159/000108334. PMID 17965570.
- "Journal Citation Reports – Notices". Archived from the original on 2010-05-15. Retrieved 2009-09-24.
- Wilhite, A. W.; Fong, E. A. (2012). "Coercive Citation in Academic Publishing". Science 335 (6068): 542–3. Bibcode:2012Sci...335..542W. doi:10.1126/science.1212540. PMID 22301307.
- "International Council for Science statement". Icsu.org. 2014-05-02. Retrieved 2014-05-18.
- DFG press release <http://www.dfg.de/en/service/press/press_releases/2010/pressemitteilung_nr_07/index.html>
- Cabello, F. and Rascon, M.T. (2015) "The Index and the Moon. Mortgaging Scientific Evaluation". International Journal of Communication <http://ijoc.org/index.php/ijoc/article/view/3629/1407>
- Original LERU press release <http://www.leru.org/index.php/public/news/not-everything-that-can-be-counted-counts->
- Impact Factor, Immediacy Index, Cited Half-life Archived May 23, 2008, at the Wayback Machine.
- "Bibliometrics (journal measures)". Elsevier. Retrieved 2012-07-09.
a measure of the speed at which content in a particular journal is picked up and referred to
- "Glossary of Thomson Scientific Terminology". Thomson Reuters. Retrieved 2012-07-09.
- "Journal Citation Reports Contents -- Immediacy Index" ((online)). Thomson Reuters. Retrieved 2012-07-09.
The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. The aggregate Immediacy Index indicates how quickly articles in a subject category are cited.
- Jalalian M (2015). "The story of fake impact factor companies and how we detected them". Electron Physician 7 (2): 1069–72. doi:10.14661/2015.1069-1072. PMC 4477767. PMID 26120416.
- Jeffrey Beall. "Scholarly Open-Access - Fake impact factors".
- "Thomson Reuters Interllectual Property & Science Master Journal List".
- Garfield, E. (2006). "The History and Meaning of the Journal Impact Factor". JAMA 295 (1): 90–3. doi:10.1001/jama.295.1.90. PMID 16391221.
- Garfield, E (1999). "Journal impact factor: a brief review". Canadian Medical Association Journal 161: 979–980.
- McVeigh, M. E.; Mann, S. J. (2009). "The Journal Impact Factor Denominator". JAMA 302 (10): 1107–9. doi:10.1001/jama.2009.1301. PMID 19738096.
- Hubbard, S. C.; McVeigh, M. E. (2011). "Casting a wide net: The Journal Impact Factor numerator". Learned Publishing 24 (2): 133–137. doi:10.1087/20110208.
- Gilbert, Natasha (2010). "UK science will be judged on impact". Nature 468 (7322): 357. Bibcode:2010Natur.468..357G. doi:10.1038/468357a. PMID 21085146.
- Groesser, Stefan N. (2012). "Dynamics of Journal Impact Factors". Systems Research and Behavioral Science 29 (6): 624–644. doi:10.1002/sres.2142.
- Marcus, Adam and Ivan Orasnky, "What's Behind Big Science Frauds?," The New York Times, May 22, 2015.