bibsearch

https://github.com/bladitoaza/bibsearch

Science Score: 44.0%

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CITATION.cff file
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Scientific vocabulary similarity
Low similarity (11.9%) to scientific vocabulary

Last synced: 7 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: bladitoaza
License: mit
Language: Python
Default Branch: master
Size: 31.3 KB

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Watchers: 1
Forks: 4
Open Issues: 0
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Created over 2 years ago · Last pushed almost 2 years ago

Metadata Files

Readme License Citation

Bibliometric search

This is a simple scrypt that allows to use the SCOPUS API to perform multiple queries in a simpler way than using the traditional SCOPUS search when collecting data for bibliometric analysis.

The example presented performs a bibliometric search of a list algorithms from a .xlsx file that can be used in VOSviewer.

Prerequisites

To run the script you need: - An Elsevier API key which can be obtained by following the instructions in the Elsevier Developer Portal. - The elsapy Python module. - A .xlsx file with the list of queries accomplishing the SCOPUS advaced search format (optional)

Installation/use

Download the file exampleProg.py.
Insert the Elsevier API it in the file config.json.
Write the SCOPUS query or read it from the .xlsx file. This example reads the keyword "traveling salesmand problem" and an algorithm from the .xlsx file. doc_srch = ElsSearch('TITLE-ABS-KEY("travelling salesman problem" AND "'+alg[0]+ '") AND PUBYEAR > 1964 AND PUBYEAR < 2023','scopus')
The script arrange all the bibliometric information and save it in the file scopus_search.csv

The output file scopus_search.csv has the format to be used as input in VOSviewer.

A note about API keys and IP addresses

The API Key is bound to a set of IP addresses, usually bound to your institution. Therefore, if you are using this for a another application, you must host the application from your institution servers in some way. Also, you cannot access the Scopus API with this key if you are offsite and must VPN into the server or use a computing cluster with an institution IP.

Contributing

Contrubution and suggestions are welcome via GitHub Pull Requests.

Owner

Name: Bladimir Toaza
Login: bladitoaza
Kind: user

Repositories: 1
Profile: https://github.com/bladitoaza

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Toaza"
  given-names: "Bladimir"
  orcid: "https://orcid.org/0000-0002-1338-1215"
title: "bibsearch: Bibliometric search"
version: 1.0.0
doi: 10.24433/CO.8741078.v1
date-released: 2023-10-05
url: "https://github.com/bladitoaza/bibsearch"
preferred-citation:
  type: article
  authors:
  - family-names: "Toaza"
    given-names: "Bladimir"
    orcid: "https://orcid.org/0000-0002-1338-1215"
  - family-names: "Esztergár-Kiss"
    given-names: "Domokos"
    orcid: "https://orcid.org/0000-0002-7424-4214"
  doi: "10.1016/j.asoc.2023.110908"
  journal: "Applied Soft Computing"
  month: 10
  start: 110908
  title: "A review of metaheuristic algorithms for solving TSP-based scheduling optimization problems"
  volume: 148
  year: 2023

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