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In the present study, we focus on better understanding the factors that contribute to a research article's newsworthiness. We have built three classifiers to predict the likelihood of a research article receiving online press coverage, based on features that quantify the attention it has received on various online platforms. The random forest classifier performed best with an accuracy rate of 0.92.<\/jats:p>","DOI":"10.1002\/pra2.2017.14505401163","type":"journal-article","created":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T03:35:36Z","timestamp":1508816136000},"page":"802-803","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["What makes a research article newsworthy?"],"prefix":"10.1002","volume":"54","author":[{"given":"Harish Varma","family":"Siravuri","sequence":"first","affiliation":[{"name":"Northern Illinois University USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamed","family":"Alhoori","sequence":"additional","affiliation":[{"name":"Northern Illinois University USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2017,10,24]]},"reference":[{"key":"e_1_2_8_2_1","unstructured":"Allan S.(2009). 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