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Quantifying Long-Term Scientific Impact

2013; American Association for the Advancement of Science; Volume: 342; Issue: 6154 Linguagem: Inglês

10.1126/science.1237825

1095-9203

Dashun Wang, Chaoming Song, Albert‐László Barabási,

Climate Change Communication and Perception

Citation Grabbers Is there quantifiable regularity and predictability in citation patterns? It is clear that papers that have been cited frequently tend to accumulate more citations. It is also clear that, with time, even the most novel paper loses its currency. Some papers, however, seem to have an inherent “fitness” that can be interpreted as a community's response to the research. Wang et al. (p. 127 ; see the Perspective by Evans ) developed a mechanistic model to predict citation history. The model links a paper's ultimate impact, represented by the total number of citations the paper will ever receive, to a single measurable parameter inferred from its early citation history. The model was used to identify factors that influence a journal's impact factor.