Analyzing the relationship between text features and grants productivity
Bibliographic Data
| ID | 21442121 |
|---|---|
| Authors | Jorge A V Tohalino (Universidade de São Paulo), Laura V C Quispe (Universidade de São Paulo), Diego R Amancio (0000-0002-3422-5166, Universidade de São Paulo, corresponding author) |
| Year | 2021 |
| Volume | 126 |
| Issue | 5 |
| Pages | 4255-4275 |
| Publication date | 2021-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scientometrics (JOURNAL) |
| Journal identifiers | ISSN: 0138-9130 • E-ISSN: 1588-2861 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11192-021-03926-x |
| OpenAlex | W3113979596 |
| Language | EN |
| Citations received | 1 |
| References cited | 57 |
Discriminative model · Feature (linguistics) · Government (linguistics) · Identification (biology) · Productivity · Relevance (law) · Academic Writing and Publishing · Biomedical Text Mining and Ontologies · scientometrics and bibliometrics research
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What Words Are Worth
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.33 |
| Citation span | 2023 - 2023 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |