2.50
Hdl Handle:
http://hdl.handle.net/2436/620796
Title:
An automatic method for assessing the teaching impact of books from online academic syllabi
Authors:
Kousha, Kayvan; Thelwall, Mike
Citation:
An automatic method for assessing the teaching impact of books from online academic syllabi 2016, 67 (12):2993 Journal of the Association for Information Science and Technology
Journal:
Journal of the Association for Information Science and Technology
Issue Date:
Dec-2016
URI:
http://hdl.handle.net/2436/620796
DOI:
10.1002/asi.23542
Additional Links:
http://doi.wiley.com/10.1002/asi.23542
Type:
Article
Language:
en
ISSN:
23301635
Sponsors:
University of Wolverhampton
Appears in Collections:
Learning and Teaching in Higher Education

Full metadata record

DC FieldValue Language
dc.contributor.authorKousha, Kayvanen
dc.contributor.authorThelwall, Mikeen
dc.date.accessioned2017-10-23T15:23:27Z-
dc.date.available2017-10-23T15:23:27Z-
dc.date.issued2016-12-
dc.identifier.citationAn automatic method for assessing the teaching impact of books from online academic syllabi 2016, 67 (12):2993 Journal of the Association for Information Science and Technologyen
dc.identifier.issn23301635-
dc.identifier.doi10.1002/asi.23542-
dc.identifier.urihttp://hdl.handle.net/2436/620796-
dc.description.sponsorshipUniversity of Wolverhamptonen
dc.language.isoenen
dc.relation.urlhttp://doi.wiley.com/10.1002/asi.23542en
dc.rightsArchived with thanks to Journal of the Association for Information Science and Technologyen
dc.subjectteaching impacten
dc.subjecteducational impacten
dc.subjectbooksen
dc.subjectonline syllabusen
dc.subjectalternative metricsen
dc.titleAn automatic method for assessing the teaching impact of books from online academic syllabien
dc.typeArticleen
dc.identifier.journalJournal of the Association for Information Science and Technologyen
dc.contributor.institutionStatistical Cybermetrics Research Group; School of Mathematics and Computer Science; University of Wolverhampton; Wulfruna Street Wolverhampton WV1 1LY UK-
dc.contributor.institutionStatistical Cybermetrics Research Group; School of Mathematics and Computer Science; University of Wolverhampton; Wulfruna Street Wolverhampton WV1 1LY UK-
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