Impact factor: Difference between revisions
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* Because "the impact factor is not always a reliable instrument" in November 2007 the [[European Association of Science Editors|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".<ref name="EASE"/> |
* Because "the impact factor is not always a reliable instrument" in November 2007 the [[European Association of Science Editors|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".<ref name="EASE"/> |
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* 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 |
* 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). <ref name="test">[http://www.icsu.org/publications/cfrs-statements/publication-practices-peer-review/statement-publication-practices-and-indices-and-the-role-of-peer-review-in-research-assessment-july-2008 International Council for Science statement]</ref> |
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* In February 2010, the [[Deutsche Forschungsgemeinschaft]] (German Foundation for Science) 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".<ref>DFG press release (http://www.dfg.de/en/service/press/press_releases/2010/pressemitteilung_nr_07/index.html)</ref> This decision follows similar ones of the [[National Science Foundation]] (US) or the [[Research Assessment Exercise]] (UK).{{Citation needed|date=March 2010}} |
* In February 2010, the [[Deutsche Forschungsgemeinschaft]] (German Foundation for Science) 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".<ref>DFG press release (http://www.dfg.de/en/service/press/press_releases/2010/pressemitteilung_nr_07/index.html)</ref> This decision follows similar ones of the [[National Science Foundation]] (US) or the [[Research Assessment Exercise]] (UK).{{Citation needed|date=March 2010}} |
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Revision as of 18:41, 22 April 2012
The impact factor, often abbreviated IF, is a measure reflecting the average number of citations to recent articles published in science and social science journals. 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 (ISI), now part of Thomson Reuters. Impact factors are calculated yearly for those journals that are indexed in Thomson Reuters Journal Citation Reports.
Calculation
In a 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.[1] 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 articles published in 2006 and 2007 were cited by indexed journals during 2008.
- B = the total number of "citable items" published by that journal in 2006 and 2007. ("Citable items" are usually articles, reviews, proceedings, or notes; not editorials or Letters-to-the-Editor.)
- 2008 impact factor = A/B.
(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. 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 5-year impact factor.[2] The JCR shows rankings of journals by impact factor, if desired by discipline, such as organic chemistry or psychiatry.
Use
The IF is used to compare different journals within a certain field. The ISI Web of Knowledge indexes more than 11,000 science and social science journals.[3]
Criticisms
Numerous criticisms have been made of the use of an impact factor, including the more general debate on the usefulness of citation metrics. Criticisms mainly concern the validity of the impact factor, policies that alter it, and its incorrect application.[4]
Validity
- The impact factor is highly discipline-dependent. The percentage of total citations occurring in the first two years after publication varies highly among disciplines from 1-3 percent in the mathematical and physical sciences to 5-8 percent in the biological sciences.[5]
- The impact factor could not be reproduced in an independent audit.[6]
- The impact factor refers to the average number of citations per paper, but this is not a normal distribution. It is rather a Bradford distribution, as predicted by theory. Being an arithmetic mean, the impact factor therefore is not a valid representation of this distribution and unfit for citation evaluation.[7]
- In the short term — especially in the case of low-impact-factor journals — many of the citations to a certain article are made in papers written by the author(s) of the original article.[8] This means that counting citations may be independent of the real "impact" of the work among investigators. Garfield, however, maintains that this phenomenon hardly influences a journal's impact factor.[9] Moreover, a study of author self-citations in diabetes literature found that the frequency of author self-citation was not associated with the quality of publications.[10] Similarly, journal self-citation is common in journals dealing in specialized topics having high overlap in readership and authors, and is not necessarily a sign of low quality or manipulation.[11]
- Journal ranking lists constructed based on the impact factor only moderately correlate with journal ranking lists based on the results of an expert survey.[12]
Editorial policies that affect the impact factor
A journal can adopt editorial policies that increase its impact factor.[13][14]
- Journals may publish a larger percentage of review articles which generally are cited more than research reports.[15] Therefore 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. Conversely, journals may choose not to publish minor articles, such as case reports in medical journals, which are unlikely to be cited and would reduce the average citation per article.
- Journals may change the fraction of "citable items" compared to front-matter in the denominator of the IF equation. Which types of articles are considered "citable" is largely a matter of negotiation between journals and Thomson Scientific. As a result of such negotiations, impact factor variations of more than 300% have been observed.[16] For instance, editorials in a journal are not considered to be citable items and therefore do not enter into the denominator of the impact factor. However, citations to such items will still enter into the numerator, thereby inflating the impact factor. In addition, if such items cite other articles (often even from the same journal), those citations will be counted and will increase the citation count for the cited journal. This effect is hard to evaluate, for the distinction between editorial comment and short original articles is not always obvious. "Letters to the editor" might refer to either class.
- Journals may publish a large fraction of their papers, or preferentially papers which they expect 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.[17][18]
Manipulations of the impact factor
- 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 use of the impact factor.[19] 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.[20]
- In 2008, a single article "A short history of SHELX" included a sentence that essentially instructs readers to cite the paper: "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 (31.434) and Science (28.103).[21] The second most cited article in Acta Crystallographica Section A in 2008 had only 28 citations.[22]
Incorrect application of impact factor
- The IF may be incorrectly applied to evaluate the significance of an individual publication or to evaluate an individual researcher.[23]
- This does not work well since a small number of publications are cited much more than the majority — for example, about 90% of Nature's 2004 impact factor was based on only a quarter of its publications, and thus the importance of any one publication will be different from, and in most cases less than, the overall number.[24] The impact factor, however, averages over all articles and thus underestimates the citations of the most cited articles while exaggerating the number of citations of the majority of articles. Consequently, 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.[25]
Responses
- 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".[4]
- 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). [26]
- In February 2010, the Deutsche Forschungsgemeinschaft (German Foundation for Science) 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".[27] This decision follows similar ones of the National Science Foundation (US) or the Research Assessment Exercise (UK).[citation needed]
Other measures of impact
Related indices
Some related values, also calculated and published by the same organization, are:
- the immediacy index: the number of citations the articles in a journal receive in a given year divided by the number of articles published.
- the 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.[28]
- the 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.
These measures apply only to journals, not individual articles or individual scientists (unlike the H-index). The relative number of citations an individual article receives is better viewed as citation impact.
It is, however, 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".[9] Impact factors have a large, but controversial, influence on the way published scientific research is perceived and evaluated.
PageRank algorithm
In 1976 a recursive impact factor that gives citations from journals with high impact greater weight than citations from low-impact journals was proposed.[29] Such a recursive impact factor resembles the PageRank algorithm of the Google search engine, though the original Pinski and Narin paper uses a "trade balance" approach in which journals score highest when they are often cited but rarely cite other journals. A number of subsequent authors have proposed related approaches to ranking scholarly journals.[30][31][32] In 2006, Johan Bollen, Marko A. Rodriguez, and Herbert Van de Sompel also proposed using the PageRank algorithm.[33] From their paper:
ISI Impact Factor | PageRank | Combined | ||||
---|---|---|---|---|---|---|
1 | 52.28 | ANNU REV IMMUNOL | 16.78 | Nature | 51.97 | Nature |
2 | 37.65 | ANNU REV BIOCHEM | 16.39 | Journal of Biological Chemistry | 48.78 | Science |
3 | 36.83 | PHYSIOL REV | 16.38 | Science | 19.84 | New England Journal of Medicine |
4 | 35.04 | NAT REV MOL CELL BIO | 14.49 | PNAS | 15.34 | Cell |
5 | 34.83 | New England Journal of Medicine | 8.41 | PHYS REV LETT | 14.88 | PNAS |
6 | 30.98 | Nature | 5.76 | Cell | 10.62 | Journal of Biological Chemistry |
7 | 30.55 | Nature Medicine | 5.70 | New England Journal of Medicine | 8.49 | JAMA |
8 | 29.78 | Science | 4.67 | Journal of the American Chemical Society | 7.78 | The Lancet |
9 | 28.18 | NAT IMMUNOL | 4.46 | J IMMUNOL | 7.56 | NAT GENET |
10 | 28.17 | REV MOD PHYS | 4.28 | APPL PHYS LETT | 6.53 | Nature Medicine |
The table shows the top 10 journals by ISI Impact Factor, PageRank, and a modified system that combines the two (based on 2003 data). Nature and Science are generally regarded as the most prestigious journals, and in the combined system they come out on top[citation needed].
The Eigenfactor is another PageRank-type measure of journal influence,[34] with rankings freely available online.[35]
Article level metrics and altmetrics
Alternative metrics (often on a article-level) are sometimes called altmetrics. Altmetrics include metrics of use such as views or mentionings in social media. For example, the BMJ published as early as in 2004 the number of views for the articles it published - a metric that is somewhat correlated to subsequent citations (Perneger, 2004). In 2008, the Journal of Medical Internet Research (JMIR) started publishing article-level metrics such as views and tweets ("tweetations") - the latter were found to be predictive for highly cited articles, leading the author to propose the "twimpact factor", which is defined as the number of tweets within the first 7 days of publication, as well as the twindex, which is the rank percentile of the twimpact factor of an article compared to similar articles within the same journal (Eysenbach, 2011). JMIR publishes its article-level metrics (including the twimpact factor) on its Top Articles page. Starting in March 2009, the Public Library of Science also introduced article level metrics[36] on every article in all of their titles.
See also
- Eigenfactor, another journal citation ranking method.
- SCImago Journal Rank, an open access journal metric which is based on Scopus data and uses an algorithm similar to PageRank.
- Lowry protein assay paper by Oliver Lowry - one of the most cited papers in the scientific literature (cited over 200,000 times).
References
- ^ "Introducing the Impact Factor". Retrieved 2009-08-26.
- ^ "JCR with Eigenfactor". Retrieved 2009-08-26.
- ^ "Web of Knowledge > Real Facts > Quality and Quantity". Retrieved 2010-05-05.
- ^ a b "European Association of Science Editors statement on impact factors". Retrieved 2009-03-25.
- ^ 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.
- ^ 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.
{{cite journal}}
: CS1 maint: multiple names: authors list (link) - ^ Joint Committee on Quantitative Assessment of Research (12 June 2008). "Citation Statistics" (PDF). International Mathematical Union.
- ^ Marashi SA (2005). "On the identity of "citers": are papers promptly recognized by other investigators?". Medical hypotheses. 65 (4): 822. doi:10.1016/j.mehy.2005.05.003. PMID 15990244.
- ^ a b Eugene Garfield (1998). "The Impact Factor and Using It Correctly". Der Unfallchirurg. 101 (6): 413–414. PMID 9677838.
{{cite journal}}
: Unknown parameter|month=
ignored (help) - ^ Gami AS, Montori VM, Wilczynski NL, Haynes RB (2004). "Author self-citation in the diabetes literature". CMAJ. 170 (13): 1925–7. doi:10.1503/cmaj.1031879. PMC 421720. PMID 15210641.
{{cite journal}}
: CS1 maint: multiple names: authors list (link) - ^ Natasa Kovacic and Aleksandra Misak (2004). "Author self-citation in medical literature". CMAJ. 170 (13): 1929–30. doi:10.1503/cmaj.1040513.
- ^ 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.
- ^ Monastersky, Richard (14 October 2005). "The Number That's Devouring Science". The Chronicle of Higher Education.
- ^ Douglas N. Arnold; Kristine K. Fowler (2011). "Nefarious Numbers". Notices of the American Mathematical Society. 58 (3): 434–437. arXiv:1010.0278.
- ^ Garfield, Eugene (20 June 1994). "The Thomson Reuters Impact Factor". Thomson Reuters.
{{cite journal}}
: Cite journal requires|journal=
(help) - ^ 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.
{{cite journal}}
:|author=
has generic name (help)CS1 maint: unflagged free DOI (link) - ^ 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.
{{cite journal}}
: CS1 maint: multiple names: authors list (link) - ^ Schuttea HK, Svec JG (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.
{{cite web}}
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suggested) (help) - ^ 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
- ^ Seglen PO (1997). "Why the impact factor of journals should not be used for evaluating research". BMJ. 314 (7079): 498–502. PMC 2126010. PMID 9056804.
- ^ "Not-so-deep impact". Nature. 435 (7045): 1003–1004. 23 June 2005. doi:10.1038/4351003b. PMID 15973362.
- ^ "House of Commons - Science and Technology - Tenth Report". 2004-07-07. Retrieved 2008-07-28.
- ^ International Council for Science statement
- ^ DFG press release (http://www.dfg.de/en/service/press/press_releases/2010/pressemitteilung_nr_07/index.html)
- ^ Impact Factor, Immediacy Index, Cited Half-life
- ^ Gabriel Pinski and Francis Narin (1976). "Citation influence for journal aggregates of scientific publications: Theory with application to literature of physics". Information Processing & Management. 12 (5): 297–312. doi:10.1016/0306-4573(76)90048-0.
- ^ S. J. Liebowitz and J. P. Palmer. (1984). "Assessing the relative impacts of economics journals" (PDF). Journal of Economic Literature. 22 (1). American Economic Association: 77–88. JSTOR 2725228.
- ^ I. Palacios-Huerta and O. Volij (2004). "The measurement of intellectual influence". Econometrica. 72 (3): 963–977. doi:10.1111/j.1468-0262.2004.00519.x.
- ^ Y. K. Kodrzycki and P. D. Yu (2006). "New approaches to ranking economics journals". B. E. Journal of Economics Analysis and Policy. 5 (1). doi:10.2202/1538-0645.1520.
- ^ Johan Bollen, Marko A. Rodriguez, and Herbert Van de Sompel. (2006). "Journal Status". Scientometrics. 69 (3). arXiv:cs.GL/0601030.
{{cite journal}}
: Unknown parameter|month=
ignored (help)CS1 maint: multiple names: authors list (link) - ^ C. T. Bergstrom. (2007). "Eigenfactor: Measuring the value and prestige of scholarly journals". College & Research Libraries News. 68 (5).
{{cite journal}}
: Unknown parameter|month=
ignored (help) - ^ eigenfactor.org
- ^ Article-Level Metrics Information
External links
- List of ranking (by field) and impact factor by Science Watch
- "Journal Citation Reports". Retrieved 2009-07-18.
- Does the 'Impact Factor' Impact Decisions on Where to Publish?, American Physical Society. Accessed: 2010-07=10.
- 2008 statement on inappropriate use of impact factors, published by the European Association of Science Editors
- Gilbert, Natasha (2010). "UK science will be judged on impact". Nature. 468 (7322): 357. doi:10.1038/468357a. PMID 21085146.