2015
DOI: 10.1002/asi.23549
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Modeling journal bibliometrics to predict downloads and inform purchase decisions at university research libraries

Abstract: 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 co… Show more

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Cited by 8 publications
(4 citation statements)
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“…The skewness and kurtosis were less than 1 indicating a normal distribution. Similar to Coughlin and Jansen (2015), normality is also validated by the normal P-P plot (Figure 3). Furthermore, the VIF is less than 10 and tolerance is greater than 0.1, thus implying no multicollinearity problem (Lin and Lu, 2015).…”
Section: Evaluating Multivariate Assumptionsmentioning
confidence: 63%
“…The skewness and kurtosis were less than 1 indicating a normal distribution. Similar to Coughlin and Jansen (2015), normality is also validated by the normal P-P plot (Figure 3). Furthermore, the VIF is less than 10 and tolerance is greater than 0.1, thus implying no multicollinearity problem (Lin and Lu, 2015).…”
Section: Evaluating Multivariate Assumptionsmentioning
confidence: 63%
“…Specifically, databases within the academic library world refer to bundles of electronic resources. The library in question spends millions of dollars per year on these databases (Coughlin & Jansen, ), so conversions (i.e. clicking on a database) and having visitors return are KPIs for the page.…”
Section: Resultsmentioning
confidence: 99%
“…The library in question spends millions of dollars per year on these databases (Coughlin & Jansen, 2015), so conversions (i.e. clicking on a database) and having visitors return are KPIs for the page.…”
Section: Database Page Analysismentioning
confidence: 99%
“…Downloads are 'a good surrogate for usage' with an added advantage of being a simple measure. 16 A download, even if it does not result in a citation, can indicate 'respect' for research 15 , an interest in it and intention to read it. Altmetrics, which count social media activity at the article level (for example, recommendations and 'captures' such as bookmarks and saves of the online article) 17 can, along with views and downloads, be used to complement traditional metrics.…”
Section: Alternative Measures Of Performancementioning
confidence: 99%