Name
Abstract | ||
|---|---|---|
•Four research levels, characterizing the basic-to-applied spectrum of research, can be effectively modeled using words from titles and abstracts and citations.•A multinomial logistic regression model of research levels was trained on over 11 million papers from all areas of science.•The resulting model accurately captures variation in research level at the article level and was used to classify over 25 million documents in Scopus (1996–2011) by research level.•Citation counts positively correlate with research level for the medical and physical sciences. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.joi.2013.10.005 | Journal of Informetrics |
Keywords | Field | DocType |
Research level,Basic science,Applied science,Multinomial logistic regression model,Article-level classification | Data mining,Computer science,Scopus | Journal |
Volume | Issue | ISSN |
8 | 1 | 1751-1577 |
Citations | PageRank | References |
13 | 0.68 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kevin W. Boyack | 1 | 1364 | 84.57 |
| Michael Patek | 2 | 13 | 1.02 |
| Lyle H. Ungar | 3 | 2850 | 279.67 |
| Patrick Yoon | 4 | 13 | 0.68 |
| Richard Klavans | 5 | 822 | 45.37 |