Sprynger: Scriptable Bibliometrics Using a Python Interface to Springer Nature
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| Název: | Sprynger: Scriptable Bibliometrics Using a Python Interface to Springer Nature |
|---|---|
| Autoři: | Herrmann, N., Rose, M. |
| Zdroj: | SoftwareX |
| Rok vydání: | 2025 |
| Sbírka: | Max Planck Society: MPG.PuRe |
| Popis: | We present a wrapper for the Springer Nature RESTful API written for Python 3. The wrapper allows users to access their free-to-use endpoints via user-friendly interfaces and can be used without prior knowledge of RESTful APIs. The APIs allow users to query metadata and open-access full-text of articles, conference proceedings and books published with Springer Nature. Files are cached to speed up subsequent analysis. The package addresses all users of scientific full-text, such as researchers working in Science of Science or evaluators. It facilitates reproducibility of research projects and enhances data integrity for researchers using Springer Nature data. |
| Druh dokumentu: | article in journal/newspaper |
| Jazyk: | English |
| Dostupnost: | https://hdl.handle.net/21.11116/0000-0011-492F-8 |
| Přístupové číslo: | edsbas.E088D6DA |
| Databáze: | BASE |
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