Whose metrics? Citation, usage and access metrics as scholarly information service

Armbruster, Chris

doi:10.1087/20100107

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…Tracking the metrics of data journals allows for the quantification of its impact. These can and have most commonly included citation and Altmetric information [22].…”

Section: Previous Workmentioning

confidence: 99%

Deep Impact: A Study on the Impact of Data Papers and Datasets in the Humanities and Social Sciences

et al. 2022

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The humanities and social sciences (HSS) have recently witnessed an exponential growth in data-driven research. In response, attention has been afforded to datasets and accompanying data papers as outputs of the research and dissemination ecosystem. In 2015, two data journals dedicated to HSS disciplines appeared in this landscape: Journal of Open Humanities Data (JOHD) and Research Data Journal for the Humanities and Social Sciences (RDJ). In this paper, we analyse the state of the art in the landscape of data journals in HSS using JOHD and RDJ as exemplars by measuring performance and the deep impact of data-driven projects, including metrics (citation count; Altmetrics, views, downloads, tweets) of data papers in relation to associated research papers and the reuse of associated datasets. Our findings indicate: that data papers are published following the deposit of datasets in a repository and usually following research articles; that data papers have a positive impact on both the metrics of research papers associated with them and on data reuse; and that Twitter hashtags targeted at specific research campaigns can lead to increases in data papers’ views and downloads. HSS data papers improve the visibility of datasets they describe, support accompanying research articles, and add to transparency and the open research agenda.

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“…Tracking the metrics of data journals allows for the quantification of its impact. These can and have most commonly included citation and Altmetric information [22].…”

Section: Previous Workmentioning

confidence: 99%

Deep Impact: A Study on the Impact of Data Papers and Datasets in the Humanities and Social Sciences

et al. 2022

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“…“Percentage of library staff providing electronic services” highlights the extent to which the library invests human resources in providing technical support for electronic services. Armbruster (2010) rightly opines when the internet has enhanced the collection and provision of citation, usage, and access metrics, the challenge lies neither in the technology nor the method, but in constructing databases that deliver services of value to the scholar. Considerable challenges still exist with regard to the standardization of recording and aggregation of usage data as they are recorded in a plethora of different formats, each representing a different permutation of recording interfaces, data fields, data semantics, and data normalization (Kurtz and Bollen, 2010).…”

Section: Standardization Aspectsmentioning

confidence: 99%

A selective review of research on e‐resource usage in academic libraries

Tripathi

Jeevan

2013

Library Review

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PurposeThe purpose of this paper is to highlight the importance of quantitative and qualitative analysis of the usage of e‐resources in academic libraries. It also describes various studies undertaken to study the users' behavior and attitude towards e‐journals.Design/methodology/approachThe paper provides a comprehensive review of the recent published literature on the importance of the usage statistics of e‐resources subscribed to by the academic libraries.FindingsThe findings show that the usage statistics help in studying and evaluating the users' behavior in an online environment. The library services can be extended and modified, to reflect user interests suiting the users the most, in the light of the evaluation and analyses done.Originality/valueThe paper has pertinence and wider implications for library staff engaged in providing e‐resources' services to readers.

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“…Usage data are most often primarily provided by the publisher of the research article. With the move towards online article publication, data on article usage (online usage at least) has become much more accessible and so more readily available to use in assessing impact (Duy et al 2006;Armbruster 2010). Usage had previously been taken into account when deciding on the reach or impact of an article, but before journals became available online (either wholly, or alongside a continuing print version), this was based only on the physical circulation of a journal (Peritz 1995;Buffardi & Nichols 1981).…”

Section: Introductionmentioning

confidence: 99%

The relationship between usage and citations in an open access mega-journal

McGillivray

Astell

2019

Scientometrics

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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 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 6 months are more likely to have their first citation earlier (Wilcoxon=1811500, p < 0.0001), which is also related to higher citations in the first two years (Wilcoxon=8071200, p < 0.0001). As this final assertion is inferred based on the results of the other elements of this paper, it requires further analysis. Moreover, our choice of a 2 year window for our analysis did not consider the articles' citation half-life, and our use of Scientific Reports (a journal that is atypical compared to most academic journals) as the source of the articles analysed has likely played a role in our findings, and so analysing a longer timeframe and carrying out similar analysis on a different journal (or group of journals) may lead to different conclusions.2

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Whose metrics? Citation, usage and access metrics as scholarly information service

Cited by 3 publications

References 7 publications

Deep Impact: A Study on the Impact of Data Papers and Datasets in the Humanities and Social Sciences

Deep Impact: A Study on the Impact of Data Papers and Datasets in the Humanities and Social Sciences

A selective review of research on e‐resource usage in academic libraries

The relationship between usage and citations in an open access mega-journal

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