The implicit preference of bibliometrics for basic research
Bibliographic Data
| ID | 21443112 |
|---|---|
| Authors | Paul Donner (0000-0001-5737-8483, German Centre for Higher Education Research and Science Studies), Ulrich Schmoch (0000-0001-8615-5115, Fraunhofer Institute for Systems and Innovation Research, corresponding author) |
| Year | 2020 |
| Volume | 124 |
| Issue | 2 |
| Pages | 1411-1419 |
| Publication date | 2020-08-01 |
| 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/s11192-020-03516-3 |
| OpenAlex | W3029203977 |
| Language | EN |
| Citations received | 3 |
| References cited | 21 |
By individually associating articles to basic or applied research, it is shown that basic articles are cited more frequently than applied ones. Dividing the subject categories of the Web of Science into a basic and an applied part, the mean field-normalization rate is referred to the applied or basic part depending on the research orientation of the paper analysed. By this approach, a distinct difference of the citations for the applied and basic parts of most subject categories is found. However, differences of the citation scores of applied and basic research organisations are found as well, but are less clear. The explanation is that applied and basic research organisations generally publish a mix of basic and applied articles. In consequence, the standard normalization without distinction of basic and applied papers is generally sufficient for the bibliometric assessment of research organisations
Basic Research · Bibliometrics · Citation · Data science · Field (mathematics) · Information retrieval · Library science · Management science · Normalization (sociology) · Political science · Publication · Social science · Sociology · Subject (documents) · Biomedical Text Mining and Ontologies · Computer Science · Engineering · Mathematics · Research Data Management Practices · scientometrics and bibliometrics research
| Unique citing works | 3 |
|---|---|
| Citations per year | 0.6 |
| Citation span | 2021 - 2024 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |