The relationship between usage and citations in an open access mega-journal
How do the level of usage of an article, the timeframe of its usage and its subject area relate to the number of citations it accrues? This paper aims to answer this question through an observational study of usage and citation data collected about the multidisciplinary, open access mega-journal Sci...
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Published in | Scientometrics Vol. 121; no. 2; pp. 817 - 838 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
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Springer International Publishing
01.11.2019
Springer Nature B.V |
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Abstract | How do the level of usage of an article, the timeframe of its usage and its subject area relate to the number of citations it accrues? This paper aims to answer this question through an observational study of usage and citation data collected about the multidisciplinary, open access mega-journal
Scientific Reports
. This observational study answers these questions using the following methods: an overlap analysis of most read and top-cited articles; Spearman correlation tests between total citation counts over two years and usage over various timeframes; a comparison of first months of citation for most read and all articles; a Wilcoxon test on the distribution of total citations of early cited articles and the distribution of total citations of all other articles. All analyses were performed in using the programming language R. As Scientific Reports is a multidisciplinary journal covering all natural and clinical sciences, we also looked at the differences across subjects. We found a moderate correlation between usage in the first year and citations in the first two years since publication (Spearman correlation coefficient of 0.49,
α
= 0.05), and that articles with high usage in the first six months are more likely to have their first citation earlier (Wilcoxon = 1,811,500,
p
< 0.0001), which is also related to higher citations in the first two years (Wilcoxon = 8,071,200,
p
< 0.0001). As this final assertion is inferred based on the results of the other elements of this paper, it would require further analysis. |
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AbstractList | How do the level of usage of an article, the timeframe of its usage and its subject area relate to the number of citations it accrues? This paper aims to answer this question through an observational study of usage and citation data collected about the multidisciplinary, open access mega-journal
Scientific Reports
. This observational study answers these questions using the following methods: an overlap analysis of most read and top-cited articles; Spearman correlation tests between total citation counts over two years and usage over various timeframes; a comparison of first months of citation for most read and all articles; a Wilcoxon test on the distribution of total citations of early cited articles and the distribution of total citations of all other articles. All analyses were performed in using the programming language R. As Scientific Reports is a multidisciplinary journal covering all natural and clinical sciences, we also looked at the differences across subjects. We found a moderate correlation between usage in the first year and citations in the first two years since publication (Spearman correlation coefficient of 0.49,
α
= 0.05), and that articles with high usage in the first six months are more likely to have their first citation earlier (Wilcoxon = 1,811,500,
p
< 0.0001), which is also related to higher citations in the first two years (Wilcoxon = 8,071,200,
p
< 0.0001). As this final assertion is inferred based on the results of the other elements of this paper, it would require further analysis. How do the level of usage of an article, the timeframe of its usage and its subject area relate to the number of citations it accrues? This paper aims to answer this question through an observational study of usage and citation data collected about the multidisciplinary, open access mega-journal Scientific Reports. This observational study answers these questions using the following methods: an overlap analysis of most read and top-cited articles; Spearman correlation tests between total citation counts over two years and usage over various timeframes; a comparison of first months of citation for most read and all articles; a Wilcoxon test on the distribution of total citations of early cited articles and the distribution of total citations of all other articles. All analyses were performed in using the programming language R. As Scientific Reports is a multidisciplinary journal covering all natural and clinical sciences, we also looked at the differences across subjects. We found a moderate correlation between usage in the first year and citations in the first two years since publication (Spearman correlation coefficient of 0.49, α = 0.05), and that articles with high usage in the first six months are more likely to have their first citation earlier (Wilcoxon = 1,811,500, p < 0.0001), which is also related to higher citations in the first two years (Wilcoxon = 8,071,200, p < 0.0001). As this final assertion is inferred based on the results of the other elements of this paper, it would require further analysis. |
Author | Astell, Mathias McGillivray, Barbara |
Author_xml | – sequence: 1 givenname: Barbara orcidid: 0000-0003-3426-8200 surname: McGillivray fullname: McGillivray, Barbara email: bmcgillivray@turing.ac.uk organization: The Alan Turing Institute, Theoretical and Applied Linguistics, Faculty of Modern and Medieval Languages, University of Cambridge – sequence: 2 givenname: Mathias orcidid: 0000-0002-4277-494X surname: Astell fullname: Astell, Mathias organization: Hindawi Limited |
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Cites_doi | 10.1371/journal.pone.0006022 10.1136/bmj.329.7465.546 10.1016/j.acalib.2006.05.005 10.1016/j.ipm.2005.03.024 10.1186/2193-1801-2-261 10.1002/asi.20420 10.1002/asi.20373 10.1096/fj.11-183988 10.1007/s11192-014-1445-x 10.1177/016555159502100108 10.1037/0003-066X.36.11.1453 10.1087/20100107 10.1007/s11192-015-1547-0 10.1007/s11024-011-9170-6 10.1007/s11192-014-1271-1 10.1002/asi.20262 10.1007/s11192-017-2308-z 10.1007/s11192-014-1243-5 10.1371/journal.pone.0013636 10.1007/s11192-017-2356-4 10.1136/bmj.a568 10.1007/s11192-010-0172-1 10.1002/asi.20200 10.1111/j.1398-9995.1997.tb00175.x 10.5860/crl.65.5.372 10.1126/science.66.1713.385 10.1111/j.1467-8551.2010.00722.x 10.5860/lrts.59n1.33 10.3163/1536-5050.99.3.008 |
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Keywords | Mega-journal Usage HTML views Correlation Usage metrics Interdisciplinary Citation metrics Scientometrics Scientific Reports Bibliometrics Article metrics Downloads Citations Open access Scholarly articles |
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Snippet | How do the level of usage of an article, the timeframe of its usage and its subject area relate to the number of citations it accrues? This paper aims to... |
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SubjectTerms | Bibliometrics Citation analysis Computer Science Correlation coefficient Correlation coefficients Information Storage and Retrieval Library Science Observational studies Open access Programming languages Questions |
Title | The relationship between usage and citations in an open access mega-journal |
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