The Research Impact of Articles Published in the Journal of College Student Development Viewed Using Altmetrics.

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Title: The Research Impact of Articles Published in the Journal of College Student Development Viewed Using Altmetrics.
Authors: Vander Putten, Jim1 vanderputten_jj@mercer.edu
Source: Innovative Higher Education. Dec2022, Vol. 47 Issue 6, p927-945. 19p.
Subject Terms: *Bibliometrics, *Altmetrics, *Research, *Higher education, *Student affairs administrators
Abstract: Fifteen bibliometric research studies were published between 1979—2019 on articles published in journals focusing on higher education and student affairs. This study used the data science tool Altmetric Explorer for Institutions to answer research questions and complete article-level analyses on research impacts, subject area patterns of research topics, and sources and predictors of online attention. The data source was articles published in the Journal of College Student Development (JCSD) between 2007–2022 (N = 451) and six articles represented 67.7% of the research impact of all 451 articles. Multiple regression analyses investigated relationships between 17 online sources and attention scores for individual research articles. Seven predictors accounted for 99% of the variance in online sources and attention scores for JCSD articles. The results demonstrated the types of insights into research utilization that are possible using altmetrics; a deeper understanding of the audiences for research, dynamic developments of this attention, and new knowledge about the wide array of additional forms of research impact that are occurring beyond the limited scope of subsequent journal article citation counts. [ABSTRACT FROM AUTHOR]
Copyright of Innovative Higher Education is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: <searchLink fieldCode="JN" term="%22Innovative+Higher+Education%22">Innovative Higher Education</searchLink>. Dec2022, Vol. 47 Issue 6, p927-945. 19p.
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  Label: Abstract
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  Data: Fifteen bibliometric research studies were published between 1979—2019 on articles published in journals focusing on higher education and student affairs. This study used the data science tool Altmetric Explorer for Institutions to answer research questions and complete article-level analyses on research impacts, subject area patterns of research topics, and sources and predictors of online attention. The data source was articles published in the Journal of College Student Development (JCSD) between 2007–2022 (N = 451) and six articles represented 67.7% of the research impact of all 451 articles. Multiple regression analyses investigated relationships between 17 online sources and attention scores for individual research articles. Seven predictors accounted for 99% of the variance in online sources and attention scores for JCSD articles. The results demonstrated the types of insights into research utilization that are possible using altmetrics; a deeper understanding of the audiences for research, dynamic developments of this attention, and new knowledge about the wide array of additional forms of research impact that are occurring beyond the limited scope of subsequent journal article citation counts. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Innovative Higher Education is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10755-022-09637-2
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        Text: English
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      – SubjectFull: Bibliometrics
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      – SubjectFull: Altmetrics
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      – SubjectFull: Research
        Type: general
      – SubjectFull: Higher education
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      – SubjectFull: Student affairs administrators
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              Text: Dec2022
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