Link‑based approach to study scientific software usage : the case of VOSviewer
dc.contributor.author | Orduna‑Malea, Enrique | en_ZA |
dc.contributor.author | Costas, Rodrigo | en_ZA |
dc.date.accessioned | 2023-04-03T07:56:49Z | |
dc.date.available | 2023-04-03T07:56:49Z | |
dc.date.issued | 2021-07 | |
dc.description | CITATION: Orduna-Malea, E. & Costas, R. 2021. Link‑based approach to study scientific software usage : the case of VOSviewer. Scientometrics, 126:8153–8186, doi:610.1007/s11192-021-04082-y. | |
dc.description | The original publication is available at https://link.springer.com | |
dc.description.abstract | Scientific software is a fundamental player in modern science, participating in all stages of scientific knowledge production. Software occasionally supports the development of trivial tasks, while at other instances it determines procedures, methods, protocols, results, or conclusions related with the scientific work. The growing relevance of scientific software as a research product with value of its own has triggered the development of quantitative science studies of scientific software. The main objective of this study is to illustrate a link-based webometric approach to characterize the online mentions to scientific software across different analytical frameworks. To do this, the bibliometric software VOSviewer is used as a case study. Considering VOSviewer’s official website as a baseline, online mentions to this website were counted in three different analytical frameworks: academic literature via Google Scholar (988 mentioning publications), webpages via Majestic (1,330 mentioning websites), and tweets via Twitter (267 mentioning tweets). Google scholar mentions shows how VOSviewer is used as a research resource, whilst mentions in webpages and tweets show the interest on VOSviewer’s website from an informational and a conversational point of view. Results evidence that URL mentions can be used to gather all sorts of online impacts related to non-traditional research objects, like software, thus expanding the analytical scientometric toolset by incorporating a novel digital dimension. | en_ZA |
dc.description.sponsorship | e South African DST‐NRF Center of Excellence in Scientometrics and Science, Technology, and Innovation Policy (SciSTIP) | |
dc.description.version | Publisher's version | |
dc.format.extent | 34 pages | |
dc.identifier.citation | Orduna-Malea, E. & Costas, R. 2021. Link‑based approach to study scientific software usage : the case of VOSviewer. Scientometrics, 126:8153–8186, doi:610.1007/s11192-021-04082-y. | |
dc.identifier.issn | 1588-2861 (online) | |
dc.identifier.issn | 0138-9130 (print) | |
dc.identifier.other | doi:610.1007/s11192-021-04082-y | |
dc.identifier.uri | http://hdl.handle.net/10019.1/126755 | |
dc.language.iso | en_ZA | en_ZA |
dc.publisher | Springer | |
dc.rights.holder | Authors retain copyright | |
dc.subject.lcsh | Computer science -- Information storage and retrieval systems | |
dc.subject.lcsh | Computer programs -- Information storage and retrieval systems | |
dc.subject.lcsh | Communication in learning and scholarship | |
dc.subject.lcsh | Webometrics | |
dc.subject.lcsh | Information science -- Statistical methods | |
dc.subject.lcsh | Computer networks | |
dc.subject.lcsh | Information visualization – Computer programs | |
dc.title | Link‑based approach to study scientific software usage : the case of VOSviewer | en_ZA |
dc.type | Article | en_ZA |