A bibliometric methodology for identifying interdisciplinary and collaborative publications
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Abstract Introduction This presentation describes a bibliometric methodology to define an ancillary journal list as a complement to a core journal list. Although it can be applied to any discipline with a core journal literature, this case study data set is research published by faculty at the 28 American Veterinary Medical Association accredited veterinary schools in the United States. This ancillary list identifies interdisciplinary and collaborative publications by analyzing the non-core subject literature. Methods Eleven years of citation data were collected from Web of Knowledge and exported to Excel. Data in several fields were normalized, pivot tables were created, and data were uploaded into Many Eyes visualization tool. The result sets were compared to the current core veterinary serials list. The images from both the pivot tables and Many Eyes showed clear trends in the data for each school and across schools. Results and Conclusions Overall, 56 percent of articles were published in the core veterinary journals. Bradford’s Law and a Bradford-Zipf plot show an enormous breadth of veterinary publications.
DescriptionProceedings paper for a presentation at the 14th European Association for Health Information and Libraries (EAHIL) Conference, 2014, Rome Italy. Also available at http://www.iss.it/binary/eahi/cont/116_Heather_K._Moberly_Full_text.pdf.
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