| Literature DB >> 26504239 |
Christian Catalini1, Nicola Lacetera2, Alexander Oettl3.
Abstract
Citations to previous literature are extensively used to measure the quality and diffusion of knowledge. However, we know little about the different ways in which a study can be cited; in particular, are papers cited to point out their merits or their flaws? We elaborated a methodology to characterize "negative" citations using bibliometric data and natural language processing. We found that negative citations concerned higher-quality papers, were focused on a study's findings rather than theories or methods, and originated from scholars who were closer to the authors of the focal paper in terms of discipline and social distance, but not geographically. Receiving a negative citation was also associated with a slightly faster decline in citations to the paper in the long run.Keywords: bibliometric techniques; citation analysis; natural-language processing; negative citations; social studies of science
Year: 2015 PMID: 26504239 PMCID: PMC4653214 DOI: 10.1073/pnas.1502280112
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205