2013
DOI: 10.1007/s11192-013-1001-0
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U.S. academic libraries: understanding their web presence and their relationship with economic indicators

Abstract: The main goal of this research is to analyze the web structure and performance of units and services belonging to U.S. academic libraries in order to check their suitability for webometric studies. Our objectives include studying their possible correlation with economic data and assessing their use for complementary evaluation purposes. We conducted a survey of library homepages, institutional repositories, digital collections, and online catalogs (a total of 374 URLs) belonging to the 100 U.S. universities wi… Show more

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Cited by 7 publications
(9 citation statements)
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References 31 publications
(34 reference statements)
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“…This effect is assumed is associated with the existence of big platforms and institutional repositories, such as CiteseerX, so that their influence on university web rankings seems a logical result. The low percentages detected on other universities with big online platforms is attributed to inconsistent naming and other bad practices in web structure and URL syntaxes, corroborating the effects of these web policies on web impact, found previously by Orduña-Malea and Regazzi [25].…”
Section: Influencesupporting
confidence: 87%
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“…This effect is assumed is associated with the existence of big platforms and institutional repositories, such as CiteseerX, so that their influence on university web rankings seems a logical result. The low percentages detected on other universities with big online platforms is attributed to inconsistent naming and other bad practices in web structure and URL syntaxes, corroborating the effects of these web policies on web impact, found previously by Orduña-Malea and Regazzi [25].…”
Section: Influencesupporting
confidence: 87%
“…To ensure accuracy and consistency from the previous study and other webometric research efforts, the same data sample and procedure Orduña-Malea and Regazzi previously employed was used in this study [25]. Thus, all data for the academic libraries are taken from that research, whereas the data for the universities is described as follows: first, the process for selecting universities for the sample is described; second, the analysis of the sample with web and economic variables is explained, and third, the data is analyzed statistically.…”
Section: Methodology and Research Designmentioning
confidence: 99%
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“…The reasons are mainly two: 1) the technical problems with the information organization ; 2) because more and more information is generated outside the library website, relegating its principal function as indicated in the NMC Horizon Report 2012 (Johnson, Adams Becker, & Cummins, 2012;Orduña-Malea & Regazzi, 2014). This last circumstance suggests the need to consider new ways to generate interest in the library to make its resources more acces-sible and visible.…”
Section: Introductionmentioning
confidence: 99%