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The Interdisciplinary Nature of

Veterinary Research as Represented in the Journal Literature

Greg Youngen

Amy 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

Collaborations – Joint Publications manyeyes.com

ui powerpoint background

Veterinary vs. Non-Vet Publications manyeyes.com

Top Veterinary Journals by School

Manyeyes.com

Treemap manyeyes.com

Non-Veterinary Journals manyeyes.com

Long Tail of CVM Publications manyeyes.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

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