1 Clinical Lecturer, Discipline of General Practice, University of Sydney, and
Associate Editor, British Medical Journal
2 Epidemiologist, National Breast Cancer Centre, Australia and Associate
Professor, Monash University Department of Rural and Indigenous Health, Moe,
Victoria, Australia
3 Editor, Medical Journal of Australia
Correspondence to: Mabel Chew E-mail: mch3004{at}gmail.com
| SUMMARY |
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Design Retrospective analysis of IF data from ISI Web of Knowledge Journal Citation ReportsScience Edition, 1994 to 2005, and interviews with Editors-in-Chief.
Setting Medical journal publishing.
Participants Ten Editors-in-Chief of the journals, except Med J Aust, who served between 1999 and 2004.
Main outcome measures IFs and component numerator and denominator data for the seven general medical journals (1994 to 2005) were collected. IFs are calculated using the formula: (Citations in year z to articles published in years x and y)/(Number of citable articles published in years x and y), where z is the current year and x and y are the previous two years. Editors' views on factors that had affected their journals' IFs were also obtained.
Results IFs generally rose over the 12-year period, with the N Engl J Med having the highest IF throughout. However, percentage rises in IF relative to the baseline year of 1994 were greatest for CMAJ (about 500%) and JAMA (260%). Numerators for most journals tended to rise over this period, while denominators tended to be stable or to fall, although not always in a linear fashion. Nine of ten eligible editors were interviewed. Possible reasons given for rises in citation counts included: active recruitment of high-impact articles by courting researchers; offering authors better services; boosting the journal's media profile; more careful article selection; and increases in article citations. Most felt that going online had not affected citations. Most had no deliberate policy to publish fewer articles (lowering the IF denominator), which was sometimes the unintended result of other editorial policies. The two Editors who deliberately published fewer articles did so as they realized IFs were important to authors. Concerns about the accuracy of ISI counting for the IF denominator prompted some to routinely check their IF data with ISI. All Editors had mixed feelings about using IFs to evaluate journals and academics, and mentioned the tension between aiming to improve IFs and keeping their constituents [clinicians] happy.
Conclusions IFs of the journals studied rose in the 12-year period due to rising numerators and/or falling denominators, to varying extents. Journal Editors perceived that this occurred for various reasons, including deliberate editorial practices. The vulnerability of the IF to editorial manipulation and Editors' dissatisfaction with it as the sole measure of journal quality lend weight to the need for complementary measures.
| INTRODUCTION |
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Thus, we decided to explore the IF phenomenon with two aims:
| METHODS |
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While the numerator count comprises citations to any article published by that journal in the previous two years, the denominator of citable articles comprises research articles and reviews only, and excludes editorials, letters, news items, and meeting abstracts.6
Our study comprised a quantitative and a qualitative arm. The quantitative analysis was exploratory in nature, consisted primarily of descriptive assessments of the data, and was intended to generate issues for the qualitative phase of the study.
Quantitative study of IF statistics
From Journal Citation
Reports,6 we
collected yearly data on IFs, citations and citeable article counts from 1994
to 2005 for the seven selected journals. Absolute and relative annual changes
were calculated using 1994 as the base year. We drew inferences (necessarily
broad) from these simple observational data to identify issues for exploration
in the qualitative phase.
Qualitative study of interviews with Editors
We e-mailed the ten Editors-in-Chief of these journals (except Med J
Aust) who had served between 1999 and 2004 to seek a telephone interview
regarding influences on their journal's IF. If no response to the first e-mail
was received within two weeks, a second was sent. Once each Editor agreed to
be interviewed, he or she was sent the relevant journal's yearly IFs, citation
and article counts from 1994 to 2003 (2004/5 data being unavailable at that
time), and our prime interview question: What factor/s do you believe
contributed to the rise in your impact factor, and how?. A telephone
interview was also scheduled in advance.
Interviews were conducted from November 2004 to February 2005 by two of the authors (MC and MVDW), around the above question, including any deliberate editorial strategies. Detailed notes of the interviews were taken and analysed manually by MC. Data analysis was conducted concurrently with data collection, to enable later interviews to build on and explore further our under-standing of Editors' views. Using template analysis, a coding template was constructed, comprising codes to label emergent themes (including contrasting views) that were identified by careful reading and re-reading of interview data, and constant comparison.7 The template was modified as new themes emerged or previous themes disregarded. We subsequently selected direct quotes to illustrate each theme.
| RESULTS |
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Editors gave the following possible specific reasons for their IF rises (see Table 1 for representative quotes):
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Factors influencing citation counts
Factors influencing citeable article counts
Editors' attitudes toward IF
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| DISCUSSION |
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Editorial influences on the IF
These influences were believed to include active recruitment of
researchers, accelerating publication, careful article selection and media
promotion. Our study cannot show that these policies directly affected
citations, but they did include factors known to favour higher citation
counts, such as publishing more review
articles.3 Media
promotion may not only attract authors keen for wider publicity of their
research, but may also influence citations: a 1991 study showed that articles
from the New Engl J Med publicized in the New York Times
received more scientific citations than articles not so publicized; this
effect was not apparent for articles published during a strike of the
Times when an edition of record was prepared but not
distributed.8 A more
recent study has also demonstrated that an article's perceived newsworthiness
is one of the strongest predictors of its citation, along with sample size and
use of a control group, but after the publishing journal's
IF.9
All but one interviewed Editor believed that going online was unlikely to have influenced their citation count markedly. In the field of computer science, where researchers rely heavily on articles freely available online and not published by journals, citation counts appear to correlate with online availability.10 However it is less clear whether this holds for medical scientists, who appear more reliant on print than electronic journals.11 The timing and extent of online availability of journals in our study varied over our period of study, and there were insufficient temporal data to show any real differences in IF following web access (analysis not shown). Such future analysis would be of interest and could include other variables that may be more greatly affected, such as immediacy of citations and validated hit counts, for which most of our interviewed Editors did not have formal data.
Whether intentional or not, changes in citeable article counts (the IF denominator) can change IFs markedly and are subject to editorial policy. Unintended factors included greater editorial selectivity and publication of lengthier research papers (thereby fitting less into each issue). However, to render their journal IFs more attractive to potential authors, two Editors deliberately published fewer citable articles. It has also previously been noted that when the Lancet began publishing research letters in 1997, their inclusion in its citable article count led to a fall in its IF in 1998 and 1999.12
Misclassification of articles as citable by ISI, and hence inaccurate calculations of the IF, have also been noted for JAMA,12 CMAJ,13 Nature,14 and The Lancet.15 Notably, recategorization of articles and negotiation with ISI about categories for consideration as citable articles (or not), were conducted by some Editors with an eye on their IFs.
Non-editorial influences
Interviewed Editors expressed the belief that more articles are being
cited, even as more journals are included in the ISI database. The data appear
to confirm this: from 2000 to 2005, the number of journals in the JCR Science
Edition rose by approximately 6% overall, from 5686 to
6008.6 In that
period, the total number of citations to internal and general medicine
journals rose yearly, with an overall increase of approximately 22% (from 570
475 to 695 155), while the total number of articles published dropped by
approximately 11% (from 14 103 to 12 600).
IFs as measures of quality
While our interviewed Editors were generally pleased at their journal's IF
improvement over time, they were uneasy about its use as a measure of journal
quality or as a means of keeping their clinical readers engaged. They are not
alone in their concerns. The two-year time span of the IF is known to favour
dynamic research fields such as the basic sciences, rather than clinical
medicine or public
health.2,3
The journal IF (which includes total citations to the journal) is not
necessarily representative of citations to individual articles, as these vary
widely.3,16
Garfield himself states that of 38 million items cited from 1900-2005,
only 0.5% were cited more than 200 times. Half [of the published articles]
were not cited at
all...17 The
most-cited 50% of papers published in Australian and New Zealand Journal
of Psychiatry (Aust NZ J Psychiatry) and in the Canadian Journal of
Psychiatry (Can J Psychiatry) between 1990 and 1995 account for
94% of all citations to these
publications.18
Citation counts do bear some correlation with quality14 and proposed hierarchies of evidence.19 Journal citation counts in the US Preventive Services Task Force guidelines were found to correlate with their IFs.20 Yet this study showed that low IF journals were also cited frequently as providing important evidence. There are other disadvantages to relying solely on citation counts as quality indicators: they do not reflect the context of the citation, as a paper may be much cited for being misleading or erroneous;14 they favour journals that publish many review articles; and they are subject to author biases (e.g. the tendency to cite others in the same discipline).21
Moreover, citation counts as used in the IF calculation are subject to other biases. Citations are counted for all items in a journal, but denominators only include specific items; thus the IF favours journals that publish many articles contributing to the numerator but not the denominator (e.g. letters to the Editor).3 One study has shown that when IF numerators were corrected using citations to source items alone, 32% of 152 general medical journals dropped by at least three places in ranking.22 Bias may also arise from author or journal self-citation (e.g. a fifth of citations in the diabetes literature have been shown to be author self-citations unrelated to the quality of the original article);23 Editors are also known to have asked authors to add citations to their journals.24
Some authors have voiced concerns about the dominance of English language and US publications in the ISI database as possible sources of bias,3 but author biases may be more influential: like native English speakers, authors in countries where English is not the first language prefer to publish in English (possibly as such articles have a higher impact than those in their native tongue);25,26 they also prefer to cite English-language articles, even in non-English language publications.25
Alternatives to the IF
Concerns raised in our study and in the literature should be an impetus to
seek alternative or complementary measures for journal impact or quality.
Several initiatives to evaluate individual research papers have arisen,
essentially based on peer review. These include BMJ Updates (a joint
initiative with McMasters University, whereby articles from over 100 clinical
journals are selected on clinical relevance and scientific criteria, then
rated on relevance and
news-worthiness);27
Biomed Central Faculty of 1000 (whereby evaluators identify the most
interesting papers they have read and rate these as recommended,
must read or
exceptional);28
and a similar yearly initiative by the Aust NZ J Psychiatry (whereby
articles considered to have contributed most to knowledge and future research
in psychiatry that year are
identified).18 The
Royal Netherlands Academy of Arts & Sciences is exploring indicators for
the societal impact of applied health research that not only include citations
in journals, Cochrane reviews and policy documents, but also output as health
care technologies, services and
publicity.29
However, finding objective, reproducible and comprehensive indicators of journal quality that can be regularly updated is more difficult. Such indicators are most likely to complement, rather than substitute for, the journal IF. They may comprise composite, weighted scores that could include citations in clinically important publications such as evidence-based guidelines (as well as journals), and the performance of journal articles in initiatives such as BMJ Updates. Other suggested bibliometric measures focus more on the particular choice of publication period and citation window, the calculation of separate indicators for different document types, the development of "relative", field-normalized measures... supplementary measures and clarification of the technical correctness of the processed indicators.31 As an example of the last, IFs using citation counts corrected for substantive items as in the denominator are now available in another Thompson Scientific database, Journal Performance Indicators (http://scientific.thomson.com/products/jpi/).17
It is clear that we have a long way to go in quest of better measures of journal impact. However, we join the clamour for all with a stake in appropriate evaluation of research publication to increase our endeavours in this quest.
Study limitations
Our sample was purposive and not intended to be representative of all
general medical journals. We focused on several high-impact journals in order
to determine whether they had specific strategies that might explain their
success in the IF stakes. Our quantitative analysis of simple
observational data was exploratory in nature, generating issues for the
qualitative phase of the study, and we chose not to employ formal tests of
hypotheses.
The interview question and prompts were validated through triangulation, using data from our quantitative study and preliminary literature survey. Respondent validation was also employed: additional issues raised by earlier interviewees were fed back to subsequent interviewees for their responses on whether these were reasonable; any contradictory responses were further explored in the interviews and refined our analysis.32 Interviews were not audio-taped, as we felt this might inhibit responses, particularly to sensitive issues such as editorial manipulation of the IF. Due to resource constraints, independent analysis of the qualitative data by a second investigator was not possible, but we attempted to enhance reliability with meticulous note-taking of interviews and documentation of the analysis.
| Footnotes |
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Ethical approval Not required.
Acknowledgments Our thanks to Joanne Elliot for assistance with data collection and to all Editors who participated.
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