| Name | bibx JSON |
| Version |
0.0.1a8
JSON |
| download |
| home_page | None |
| Summary | Python bibliometric tools. |
| upload_time | 2023-12-03 15:33:29 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | None |
| license | None |
| keywords |
bibliometrics
science
text mining
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# bibx
A python library with bibliographic and biblio-metric tools.
## Features
- Reads Web of Science (ISI) files.
- Reads scopus bibtex files.
- Merges scopus and ISI bibliographic collections.
- Implements the [SAP][sap] algorithm.
- More features in the roadmap...
## Example
Here's how to apply the sap algorithm:
```python
from bibx import read_scopus, Sap
with open('./docs/examples/scopus.bib') as f:
c = read_scopus(f)
s = Sap()
g = s.create_graph(c)
g = s.clean_graph(g)
g = s.tree(g)
# Then work with g however you'd prefer
```
## References
- Zuluaga, M.; Robledo, S.; Arbelaez-Echeverri, O.; Osorio-Zuluaga, G. A. & Duque-Méndez, N. (2022). Tree of Science - ToS: A web-based tool for scientific literature recommendation. Search less, research more! _Issues In Science And Technology Librarianship_, 100. [https://dx.doi.org/10.29173/istl2696][web]
- Valencia-Hernandez, D. S., Robledo, S., Pinilla, R., Duque-Méndez, N. D., & Olivar-Tost, G. (2020). SAP Algorithm for Citation Analysis: An improvement to Tree of Science. _Ingeniería E Investigación_, 40(1), 45–49. [https://doi.org/10.15446/ing.investig.v40n1.77718][sap]
- Zuluaga, M.; Robledo, S.; Osorio-Zuluaga, G. A.; Yathe, L.; González, D. & Taborda, G. (2016). Metabolomics and pesticides: systematic literature review usinggraph theory for analysis of references. _Nova_, 14(25), 121-138. [https://dx.doi.org/10.22490/24629448.1735][meta]
- Robledo, S.; Osorio, G. & López, C. (2014). Networking en pequeña empresa: una revisión bibliográfica utilizando la teoria de grafos. _Revista Vínculos_, 11(2), 6-16. [https://dx.doi.org/10.14483/2322939X.9664][network]
[web]: https://dx.doi.org/10.29173/istl2696
[sap]: https://dx.doi.org/10.15446/ing.investig.v40n1.77718
[meta]: https://dx.doi.org/10.22490/24629448.1735
[network]: https://dx.doi.org/10.14483/2322939X.9664
Raw data
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