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• W2773098369 abstract "Citation analysis and discourse analysis of 369 R01 NIH proposals are used to discover possible predictors of proposal success. We focused on two issues: the Matthew effect in science—Merton’s claim that eminent scientists have an inherent advantage in the competition for funds—and quality of writing or clarity. Our results suggest that a clearly articulated proposal is more likely to be funded than a proposal with lower quality of discourse. We also find that proposal success is correlated with a high level of topical overlap between the proposal references and the applicant’s prior publications. Implications associated with the analysis of proposal data are discussed." @default.
• W2773098369 created "2017-12-22" @default.
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• W2773098369 date "2017-12-05" @default.
• W2773098369 modified "2023-09-29" @default.
• W2773098369 title "Toward predicting research proposal success" @default.
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• W2773098369 doi "https://doi.org/10.1007/s11192-017-2609-2" @default.
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