21
The Interdisciplinary Nature of Veterinary Research as Represented in the Journal Literature Greg Youngen Amy Gullen UIUC Veterinary Medicine Library

The Interdisciplinary Nature of Veterinary Research as Represented in the Journal Literature Greg Youngen Amy Gullen UIUC Veterinary Medicine Library

Embed Size (px)

Citation preview

The Interdisciplinary Nature of Veterinary Research as Represented

in the Journal Literature

Greg YoungenAmy Gullen

UIUC Veterinary Medicine Library

Scope of the Search• Web of Science & Scopus• 2009 publication records • Articles published by authors at eight CVM’s

– Iowa State University– Michigan State University– Ohio State University– Purdue University– University of Illinois– University of Minnesota– University of Missouri– University of Wisconsin

Extracting the Data

• Identifying CVM and affiliated authorship– Vet or vet* in Author Affiliation field– Identifying best geographic identifier

• Urbana more effective than Illinois

– Dealing with false drops• Vet = Veterans (hospital) or Veterinary• Publications from in-practice vets in same town• USDA/APHIS locations (Ames & East Lansing)

• Missed data – CVM authors w/out “vet” in titles

Data Management

• Downloaded into Excel file:– Scopus – 953 records– Web of Science – 843 records– De-duplicated set – 1,368 records

• Fields downloaded:– Au, ti, so (incl. vol, iss, yr), aa, akw,

ikw(Scopus), kw+(WOS), journal subject• Identifying Veterinary vs Non-Veterinary

Titles– VMLS Basic List of Serials

Post Processing of Data

• De-duplication process– Located collaborations and duplicates by

sorting data• Listed all schools affiliated with an article, but

left duplicate listings (one per school)– Removed these duplicates as needed for data

analysis (total number of articles published per journal)

– Ran a Macro on each duplicate (same article from WOS and Scopus) manually

Post Processing of Data, cont.

• Cleanup– Totaled the number of articles per journal title– Formatted text for word clouds so that words

in a phrase would stay together (Escherichia coli)

– Data visualization tools treat different letter cases (“HELLO” vs. "Hello“) as different words

• WOS and Scopus differ in how they provide some fields (journal titles)

• Changed journal titles as needed so they wouldn’t be listed twice in visualizations

Data Visualization

• Many Eyes– Bubble charts– Word clouds

• Worldle– Word clouds

ui powerpoint background

Collaborations – Joint Publicationsmanyeyes.com

Veterinary vs. Non-Vet Publicationsmanyeyes.com

Top Veterinary Journals by SchoolManyeyes.com

Treemap manyeyes.com

Non-Veterinary Journalsmanyeyes.com

Long Tail of CVM Publicationsmanyeyes.com

WOS Keywords grouped within Vet Sciences

WOS Key Words (outside Veterinary Sciences)

WOS Key Word Plus Field

ISU Article Title Words

ISU Author Keywords from WOS

ISU Keywords Plus from WOS

ISU Combined

Next Steps

Is it worth the effort to expand?•Range of years (decade)•Number of schools (all CVMs)•Scope of coverage•Granularity of data•Trends over time•Collaborators•Time and effort involved in data cleanup