Usage Factor for Journals: A New Measure for Scholarly Impact

Pesch, Oliver

doi:10.1080/0361526x.2012.722522

Cited by 5 publications

(4 citation statements)

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“…The mid-2000s saw a number of attempts to add usage data to the arsenal of metrics available to quantify scholarly communication. In the United States, one group proposed the 'usage impact factor' [13]; in the United Kingdom, another group developed the 'usage factor' [14,15] -however, standardizing the way in which these data were collected across repositories proved challenging. In order to ensure "consistent, credible, and comparable" standards when collating usage data, the non-profit organization Counting Online Usage of Networked Electronic Resources, known as Project COUNTER, was set up and released its first code of practice in 2003 [16].…”

Section: Challenges Facing Journal Metricsmentioning

confidence: 99%

BitView: Using Blockchain Technology to Validate and Diffuse Global Usage Data for Academic Publications

Lamanna

Manna

2018

Lecture Notes in Computer Science

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We suggest that blockchain technology could be used to underpin a validated, reliable, and transparent usage metric for research outputs. Previous attempts to create online usage metrics have been unsuccessful largely because it has been difficult to coordinate agreement between all parties on the rules of data collection and the distribution of the workload of data synthesis and dissemination. Blockchain technology can be utilized to bypass this coordination problem. We propose the creation of a bibliometric blockchain (called BitView) which forms a decentralized ledger of the online usage of scholarly research outputs. By means of a worked example, we demonstrate how this blockchain could ensure that all parties adhere to the same rules of data collection, and that the workload of data synthesis is distributed equitably. Moreover, we outline how public-private key cryptography could ensure that users' data remains private while librarians, academics, publishers, and research funders retain open access to all the data they require. It is concluded that a usage metric underpinned by blockchain technology may lead to a richer and healthier ecosystem in which publishers and academics are incentivized to widen access to their research.

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Section: Challenges Facing Journal Metricsmentioning

confidence: 99%

BitView: Using Blockchain Technology to Validate and Diffuse Global Usage Data for Academic Publications

Lamanna

Manna

2018

Lecture Notes in Computer Science

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“…The United Kingdom Serials Group (UKSG) and COUN-TER are partnering to develop a journal usage factor based on readership and not the number of times articles are cited. 64 Black reports on the customized citation analysis he performs on journals of interest to his institution. 65 "Altmetrics," short for alternative metrics, aim to measure the impact of an article based on its presence in social media.…”

Section: Usage and Analysismentioning

confidence: 99%

The Promise of the Future: A Review of the Serials Literature, 2012–13

Sullenger¹

2016

LRTS

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“…Using the median, instead of the mean, limits outliers caused by a single popular article, which can create an apparent spike in usage (Pesch, 2012). For instance, some academic domains reference articles in their publications more often than others.…”

Section: Evaluating Journal Value Via Content Cost and Usagementioning

confidence: 99%

“…Taking the median usage for a journal over a 2-year period and normalizing that usage based on the total number of published items online at that time calculates Usage Factor. Using the median, instead of the mean, limits outliers caused by a single popular article, which can create an apparent spike in usage (Pesch, 2012). Nevertheless, downloads, have been an important benchmark to measure demand and the value of electronic resources (Metz, 1992).…”

Section: Evaluating Journal Value Via Content Cost and Usagementioning

confidence: 99%

Modeling journal bibliometrics to predict downloads and inform purchase decisions at university research libraries

Coughlin

Jansen

2015

Asso for Info Science & Tech

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University libraries provide access to thousands of online journals and other content, spending millions of dollars annually on these electronic resources. Providing access to these online resources is costly, and it is difficult both to analyze the value of this content to the institution and to discern those journals that comparatively provide more value. In this research, we examine 1,510 journals from a large research university library, representing more than 40% of the university's annual subscription cost for electronic resources at the time of the study. We utilize a web analytics approach for the creation of a linear regression model to predict usage among these journals. We categorize metrics into two classes: global (journal focused) and local (institution dependent). Using 275 journals for our training set, our analysis shows that a combination of global and local metrics creates the strongest model for predicting full-text downloads. Our linear regression model has an accuracy of more than 80% in predicting downloads for the 1,235 journals in our test set. The implications of the findings are that university libraries that use local metrics have better insight into the value of a journal and therefore more efficient cost content management.

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Usage Factor for Journals: A New Measure for Scholarly Impact

Cited by 5 publications

References 0 publications

BitView: Using Blockchain Technology to Validate and Diffuse Global Usage Data for Academic Publications

BitView: Using Blockchain Technology to Validate and Diffuse Global Usage Data for Academic Publications

The Promise of the Future: A Review of the Serials Literature, 2012–13

Modeling journal bibliometrics to predict downloads and inform purchase decisions at university research libraries

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