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Bornmann, L.: On the function of university rankings (2014)
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- Date
- 29. 1.2014 16:55:03
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.2, S.428-429
-
Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014)
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- Date
- 18. 3.2014 19:13:22
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.4, S.866-867
-
Bornmann, L.; Mutz, R.: From P100 to P100' : a new citation-rank approach (2014)
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- Date
- 22. 8.2014 17:05:18
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1939-1943
-
Leydesdorff, L.; Bornmann, L.: How fractional counting of citations affects the impact factor : normalization in terms of differences in citation potentials among fields of science (2011)
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- Abstract
- The Impact Factors (IFs) of the Institute for Scientific Information suffer from a number of drawbacks, among them the statistics-Why should one use the mean and not the median?-and the incomparability among fields of science because of systematic differences in citation behavior among fields. Can these drawbacks be counteracted by fractionally counting citation weights instead of using whole numbers in the numerators? (a) Fractional citation counts are normalized in terms of the citing sources and thus would take into account differences in citation behavior among fields of science. (b) Differences in the resulting distributions can be tested statistically for their significance at different levels of aggregation. (c) Fractional counting can be generalized to any document set including journals or groups of journals, and thus the significance of differences among both small and large sets can be tested. A list of fractionally counted IFs for 2008 is available online at http:www.leydesdorff.net/weighted_if/weighted_if.xls The between-group variance among the 13 fields of science identified in the U.S. Science and Engineering Indicators is no longer statistically significant after this normalization. Although citation behavior differs largely between disciplines, the reflection of these differences in fractionally counted citation distributions can not be used as a reliable instrument for the classification.
- Date
- 22. 1.2011 12:51:07
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.217-229
-
Bornmann, L.; Marx, W.: Distributions instead of single numbers : percentiles and beam plots for the assessment of single researchers (2014)
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- Date
- 29. 1.2014 15:58:21
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.1, S.206-208
-
Leydesdorff, L.; Bornmann, L.; Wagner, C.S.: ¬The relative influences of government funding and international collaboration on citation impact (2019)
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- Abstract
- A recent publication in Nature reports that public R&D funding is only weakly correlated with the citation impact of a nation's articles as measured by the field-weighted citation index (FWCI; defined by Scopus). On the basis of the supplementary data, we up-scaled the design using Web of Science data for the decade 2003-2013 and OECD funding data for the corresponding decade assuming a 2-year delay (2001-2011). Using negative binomial regression analysis, we found very small coefficients, but the effects of international collaboration are positive and statistically significant, whereas the effects of government funding are negative, an order of magnitude smaller, and statistically nonsignificant (in two of three analyses). In other words, international collaboration improves the impact of research articles, whereas more government funding tends to have a small adverse effect when comparing OECD countries.
- Date
- 8. 1.2019 18:22:45
- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.2, S.198-201
-
Bornmann, L.: How to analyze percentile citation impact data meaningfully in bibliometrics : the statistical analysis of distributions, percentile rank classes, and top-cited papers (2013)
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- Date
- 22. 3.2013 19:44:17
- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.3, S.587-595
-
Bornmann, L.; Schier, H.; Marx, W.; Daniel, H.-D.: Is interactive open access publishing able to identify high-impact submissions? : a study on the predictive validity of Atmospheric Chemistry and Physics by using percentile rank classes (2011)
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- Date
- 8. 1.2011 18:29:40
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.61-71
-
Bornmann, L.: ¬The reception of publications by scientists in the early days of modern science (2014)
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- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.10, S.2160-2161
-
Leydesdorff, L.; Bornmann, L.: ¬The operationalization of "fields" as WoS subject categories (WCs) in evaluative bibliometrics : the cases of "library and information science" and "science & technology studies" (2016)
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- Abstract
- Normalization of citation scores using reference sets based on Web of Science subject categories (WCs) has become an established ("best") practice in evaluative bibliometrics. For example, the Times Higher Education World University Rankings are, among other things, based on this operationalization. However, WCs were developed decades ago for the purpose of information retrieval and evolved incrementally with the database; the classification is machine-based and partially manually corrected. Using the WC "information science & library science" and the WCs attributed to journals in the field of "science and technology studies," we show that WCs do not provide sufficient analytical clarity to carry bibliometric normalization in evaluation practices because of "indexer effects." Can the compliance with "best practices" be replaced with an ambition to develop "best possible practices"? New research questions can then be envisaged.
- Aid
- Web of Science
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.3, S.707-714
-
Bornmann, L.; Mutz, R.: Growth rates of modern science : a bibliometric analysis based on the number of publications and cited references (2015)
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- Abstract
- Many studies (in information science) have looked at the growth of science. In this study, we reexamine the question of the growth of science. To do this we (a) use current data up to publication year 2012 and (b) analyze the data across all disciplines and also separately for the natural sciences and for the medical and health sciences. Furthermore, the data were analyzed with an advanced statistical technique-segmented regression analysis-which can identify specific segments with similar growth rates in the history of science. The study is based on two different sets of bibliometric data: (a) the number of publications held as source items in the Web of Science (WoS, Thomson Reuters) per publication year and (b) the number of cited references in the publications of the source items per cited reference year. We looked at the rate at which science has grown since the mid-1600s. In our analysis of cited references we identified three essential growth phases in the development of science, which each led to growth rates tripling in comparison with the previous phase: from less than 1% up to the middle of the 18th century, to 2 to 3% up to the period between the two world wars, and 8 to 9% to 2010.
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.11, S.2215-2222
-
Bornmann, L.: Nature's top 100 revisited (2015)
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- Content
- Bezug: Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2714. Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23554/abstract.
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.10, S.2166
-
Collins, H.; Bornmann, L.: On scientific misconduct (2014)
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- Journal of the Association for Information Science and Technology. 65(2014) no.5, S.1089-1090
-
Bornmann, L.: Scientific peer review (2011)
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- Source
- Annual review of information science and technology. 45(2011) no.1, S.197-245
-
Leydesdorff, L.; Radicchi, F.; Bornmann, L.; Castellano, C.; Nooy, W. de: Field-normalized impact factors (IFs) : a comparison of rescaling and fractionally counted IFs (2013)
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- Abstract
- Two methods for comparing impact factors and citation rates across fields of science are tested against each other using citations to the 3,705 journals in the Science Citation Index 2010 (CD-Rom version of SCI) and the 13 field categories used for the Science and Engineering Indicators of the U.S. National Science Board. We compare (a) normalization by counting citations in proportion to the length of the reference list (1/N of references) with (b) rescaling by dividing citation scores by the arithmetic mean of the citation rate of the cluster. Rescaling is analytical and therefore independent of the quality of the attribution to the sets, whereas fractional counting provides an empirical strategy for normalization among sets (by evaluating the between-group variance). By the fairness test of Radicchi and Castellano (), rescaling outperforms fractional counting of citations for reasons that we consider.
- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.11, S.2299-2309
-
Bornmann, L.; Leydesdorff, L.: Statistical tests and research assessments : a comment on Schneider (2012) (2013)
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Bornmann, L.: Is there currently a scientific revolution in Scientometrics? (2014)
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Bornmann, L.; Bauer, J.; Haunschild, R.: Distribution of women and men among highly cited scientists (2015)
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- Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2715-2716
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Bornmann, L.: What do altmetrics counts mean? : a plea for content analyses (2016)
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- Journal of the Association for Information Science and Technology. 67(2016) no.4, S.1016-1017
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Besselaar, P. van den; Wagner, C,; Bornmann, L.: Correct assumptions? (2016)
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- Journal of the Association for Information Science and Technology. 67(2016) no.7, S.1779
