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COLLOQUIUM PAPERS
Mapping knowledge domains: Characterizing PNAS

Kevin W. Boyack ^*

Computation, Computers, Information and Mathematics Center, Sandia National Laboratories, P.O. Box 5800, Albuquerque, NM 87185

A review of data mining and analysis techniques that can be used for the mapping of knowledge domains is given. Literature mapping techniques can be based on authors, documents, journals, words, and/or indicators. Most mapping questions are related to research assessment or to the structure and dynamics of disciplines or networks. Several mapping techniques are demonstrated on a data set comprising 20 years of papers published in PNAS. Data from a variety of sources are merged to provide unique indicators of the domain bounded by PNAS. By using funding source information and citation counts, it is shown that, on an aggregate basis, papers funded jointly by the U.S. Public Health Service (which includes the National Institutes of Health) and non-U.S. government sources outperform papers funded by other sources, including by the U.S. Public Health Service alone. Grant data from the National Institute on Aging show that, on average, papers from large grants are cited more than those from small grants, with performance increasing with grant amount. A map of the highest performing papers over the 20-year period was generated by using citation analysis. Changes and trends in the subjects of highest impact within the PNAS domain are described. Interactions between topics over the most recent 5-year period are also detailed.

Abbreviations: SCIE, Science Citation Index Expanded; ISI, Institute for Scientific Information; ALNR, articles, letters, notes, and reviews; PI, principal investigator.

These data are extracted from Science Citation Index Expanded [Institute for Scientific Information, Inc. (ISI), Philadelphia, PA; Copyright ISI]. All rights reserved. No portion of these data may be reproduced or transmitted in any form or by any means without the prior written permission of ISI.

National Institute on Aging funding is 6% of the National Institutes of Health total annually. The 1,862 National Institute on Aging papers are 7.4% of the total National Institutes of Health papers in the PNAS data set.

^* E-mail: kboyack{at}sandia.gov.

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