Classification of individual articles from all of science by research level

[Kevin Boyack]

Classification of individual articles from all of science by research level

 

Kevin W. Boyack, Michael Patek, Lyle H. Ungar, Patrick Yoon, and Richard
Klavans

 

A system of four research levels, designed to classify scientific journals
from most applied to most basic, was introduced by Francis Narin and
colleagues in the 1970s. Research levels have been used since that time to
characterize research at institutional and departmental levels. Currently,
less than half of all articles published are in journals that been
classified by research level. There is thus a need for the notion of
research level to be extended in a way that all articles can be so
classified. This article reports on a new model - trained from title and
abstract words and cited references - that classifies individual articles by
research level. The model covers all of science, and has been used to
classify over 25 million articles from Scopus by research level. The final
model and set of classified articles are further characterized.

 

Published article available online at
http://www.sciencedirect.com/science/article/pii/S1751157713000825 

 

Pre-print and the final Word Frequency Model (three column file: level  word
score) are available from our publications page at
http://www.mapofscience.com/?page_id=617. 

 

Apologies for cross-posting.

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