Moving Beyond Citation Analysis: How Surveys and Interviews Enhance, Enrich, and Expand Your Research Findings

deVries, Susann; Kelly, Robert G.; Storm, Paula

doi:10.5860/crl-45r1

Cited by 10 publications

(2 citation statements)

References 14 publications

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“…A paper by Susann deVries, Robert Kelly, and Paula Storm and another by Johnathan Nabe and Andrea Imre both describe downloading unformatted citations from databases then applying a Perl script to parse elements of the citations into tabulated fields. 31 These studies took a step toward automation but stop short of using programmatic methods for data gathering.…”

Section: Past Methodologiesmentioning

confidence: 99%

Using Data Mining for Citation Analysis

White¹

2019

C&RL

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This paper presents a new model for citation analysis, applying new methodological approaches in citation studies. These methods are demonstrated by an analysis of cited references from publications by the Geological Sciences faculty at the University of Colorado Boulder. The author made use of simple Python scripting, the Web of Science API, and OpenRefine to examine the most frequently cited journals and compare them to library holdings data to discover materials absent from the local collection. Of the more than 20,000 citations analyzed, 80 percent cited approximately 10 percent of all titles (412 journals). A notable finding was the heavy reliance of faculty members upon works between zero and two years of age. The streamlined model presented here removes the constraints of time and effort encountered by academic librarians interested in conducting citation analyses.

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Section: Past Methodologiesmentioning

confidence: 99%

Using Data Mining for Citation Analysis

White¹

2019

C&RL

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“…This led to the publication of Journal Citation Reports (JCR). Many studies used the ISI journal impact factor to identify core collections of journals for specific disciplines (Blessinger & Frasier, 2007;Blessinger & Hrycaj, 2010;deVries, Kelly, & Storm, 2010;Weissinger, 2010).…”

Section: Criteria For Journal Quality Criteriamentioning

confidence: 99%

Criteria for Evaluating Journals in the Scholarship of Teaching and Learning in Agriculture, Natural Resources, and the Life Sciences

Bracke

Weiner

Nixon

et al. 2012

ij-sotl

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The purpose of this paper was to identify existing criteria that may be considered in evaluating journals in the scholarship of teaching and learning in agriculture, natural resources, and the life sciences. This can assist faculty authors and evaluators of promotion and tenure cases to explain indicators of the quality of the publications. The commonly accepted criteria are: peer review; acceptance rate; longevity; open access availability; inclusion in indexing/abstracting services; citation analysis; and expert opinion. These data were collected for a representative set of journals which indicated that: acceptance rates for the journals varied widely; most of the journals existed for at least 10 years; most of the journals did not have an ISI impact factor or EigenfactorTM Score; the ERIC database was the predominant indexing resource; and there were no published lists of journals in these subjects compiled from expert opinion. KeywordsScholarship assessment, Evaluation of journals, Agriculture, Natural resources, Life sciences, Scholarship of teaching and learning Abstract The purpose of this paper was to identify existing criteria that may be considered in evaluating journals in the scholarship of teaching and learning in agriculture, natural resources, and the life sciences. This can assist faculty authors and evaluators of promotion and tenure cases to explain indicators of the quality of the publications. The commonly accepted criteria are: peer review; acceptance rate; longevity; open access availability; inclusion in indexing/abstracting services; citation analysis; and expert opinion. These data were collected for a representative set of journals which indicated that: acceptance rates for the journals varied widely; most of the journals existed for at least 10 years; most of the journals did not have an ISI impact factor or Eigenfactor TM Score; the ERIC database was the predominant indexing resource; and there were no published lists of journals in these subjects compiled from expert opinion. Creative Commons License

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More than Collection Development: Using Local Citation Analysis to Begin a Career in Business Librarianship

Martindale

2020

Collection Management

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Moving Beyond Citation Analysis: How Surveys and Interviews Enhance, Enrich, and Expand Your Research Findings

Cited by 10 publications

References 14 publications

Using Data Mining for Citation Analysis

Using Data Mining for Citation Analysis

Criteria for Evaluating Journals in the Scholarship of Teaching and Learning in Agriculture, Natural Resources, and the Life Sciences

More than Collection Development: Using Local Citation Analysis to Begin a Career in Business Librarianship

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