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Rossner, Mike; Epps, Heather Van; Hill, Emma

doi:10.1083/jcb.200711140

Cited by 256 publications

(208 citation statements)

References 6 publications

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“…6,7 Despite its popularity, journal impact factor is widely criticized. 8 Detractors note that it is inherently slow (citations take months to years to accrue, and journal impact factor is published annually according to 1-to 3-year-old data 9 ), narrow (it assesses only this one particular type of impact 10 during a brief 2-year period 11 ), secretive and irreproducible (articles are weighted according to an opaque and subjective classification such as primary, review, or "front matter," classifications that are subject to lobbying by publishers 11 ), and open to gaming (some types of articles are cited much more frequently than others 10,11 ), and fails to identify influential articles published in minor journals.…”

Section: Historical Perspectivementioning

confidence: 99%

The Altmetric Score: A New Measure for Article-Level Dissemination and Impact

Trueger

Thoma

Hsu

et al. 2015

Annals of Emergency Medicine

200

172

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Section: Historical Perspectivementioning

confidence: 99%

The Altmetric Score: A New Measure for Article-Level Dissemination and Impact

Trueger

Thoma

Hsu

et al. 2015

Annals of Emergency Medicine

200

172

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“…Thomson Scientific also states that "The denominator contains a count of indexed citable items. Although all primary research articles and reviews (whether published in frontmatter or anywhere else in the journal) are included, a citable item also includes substantive pieces published in the journal that are, bibliographically and bibliometrically, part of the scholarly contribution of the journal to the literature" (Pendlebury, 2007). Other items (non-citable items) including editorials, letters to the editor, news items, and meeting abstracts, etc.…”

Section: Document Types and Citable (Source) Items Counted In The Impmentioning

confidence: 99%

“…Typing errors in the name of the journal remain of course. As Thomson Scientific cleans the database before calculating IFs, less important typing errors are found by their approach (Pendlebury, 2007). Craig (2007) Ketcham (2007) further proposed two methods to predict IFs through weekly collection of citation data from the WoS over the past 2 years.…”

Section: Can We Estimate Impact Factor Beforementioning

confidence: 99%

On indexing in the Web of Science and predicting journal impact factor

Rousseau

2008

J. Zhejiang Univ. Sci. B

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Abstract:We discuss what document types account for the calculation of the journal impact factor (JIF) as published in the Journal Citation Reports (JCR). Based on a brief review of articles discussing how to predict JIFs and taking data differences between the Web of Science (WoS) and the JCR into account, we make our own predictions. Using data by cited-reference searching for Thomson Scientific's WoS, we predict 2007 impact factors (IFs) for several journals, such as Nature, Science, Learned Publishing and some Library and Information Sciences journals. Based on our colleagues' experiences we expect our predictions to be lower bounds for the official journal impact factors. We explain why it is useful to derive one's own journal impact factor.

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“…Therefore, we argue that there is a positive link between journals with high IFs and the quality of research, especially when looking at larger sets of 100 or more publications. Despite the negative aspects of JIFs, recent debates are directed more towards the accuracy and transparency of Thomson Reuters citation data and not necessarily towards the JIF itself (Rossner et al 2007(Rossner et al , 2008Ketcham and Crawford 2008;Pringle 2008).…”

Section: Introductionmentioning

confidence: 99%

Journal Impact Factors for evaluating scientific performance: use of h-like indicators

Boell

Wilson

2010

Scientometrics

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This article introduces the Impact Factor squared or IF²-index, an h-like indicator of research performance. This indicator reflects the degree to which large entities such as countries and/or their states participate in top-level research in a field or subfield. The IF²-index uses the Journal Impact Factor (JIF) of research publications instead of the number of citations. This concept is applied to other h-type indexes and their results compared to the IF²-index. These JIF-based indexes are then used to assess the overall performance of cancer research in Australia and its states over 8 years from 1999 to 2006. The IF²-index has three advantages when evaluating larger research units: firstly, it provides a stable value that does not change over time, reflecting the degree to which a research unit participated in top-level research in a given year; secondly, it can be calculated closely approximating the publication date of yearly datasets; and finally, it provides an additional dimension when a full article-based citation analysis is not feasible. As the index reflects the degree of participation in top-level research it may favor larger units when units of different sizes are compared.

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Cited by 256 publications

References 6 publications

The Altmetric Score: A New Measure for Article-Level Dissemination and Impact

The Altmetric Score: A New Measure for Article-Level Dissemination and Impact

On indexing in the Web of Science and predicting journal impact factor

Journal Impact Factors for evaluating scientific performance: use of h-like indicators

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