gender_citation_gap_dion_et_al
gender_citation_gap_dion_et_al
Science Score: 57.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.6%) to scientific vocabulary
Repository
gender_citation_gap_dion_et_al
Basic Info
- Host: GitHub
- Owner: gesiscss
- License: cc0-1.0
- Language: Jupyter Notebook
- Default Branch: main
- Size: 772 KB
Statistics
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Replication of Dion, Sumner, Mitchell (2018): Gendered Citation Patterns across Political Science and Social Science Methodology Fields
This repository entails the code and data to replicate the published Article "Gendered Citation Patterns across Political Science and Social Science Methodology Fields" by Dion, Sumner and Mitchell (2018) and the structure to explore the replication interactively using Binder.
Installation
You can easily access the replication files via Binder and explore the replication in the document "ReplicationDionetalWalkthrough.ipynb".
Structure
- .binder entails all the required files to launch the repository interactively in Binder.
- Data entails the datasets used for the replication as downloaded from Havard Dataverse
- sources entails the R-source files that estimate the regression coefficients and produce the regression table. <!-- #endregion -->
References
Dion, M. L., Sumner, J. L., & Mitchell, S. M. (2018). Gendered citation patterns across political science and social science methodology fields. Political analysis, 26(3), 312-327.
Dion, Michelle L.; Sumner, Jane Lawrence; Mitchell, Sara McLaughlin, 2018, "Replication Data for: Gendered Citation Patterns across Political Science and Social Science Methodology Fields", https://doi.org/10.7910/DVN/R7AQT1, Harvard Dataverse, V1, UNF:6:CInBeM5eziTIPGjBVTpr4A== [fileUNF]
Owner
- Name: GESIS – Leibniz Institute for the Social Sciences
- Login: gesiscss
- Kind: organization
- Location: Cologne, Germany
- Website: https://www.gesis.org/en/institute/departments/computational-social-science
- Repositories: 46
- Profile: https://github.com/gesiscss
Department Computational Social Science
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Replication of Dion, Sumner, Mitchell (2018):
Gendered Citation Patterns across Political Science
and Social Science Methodology Fields
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Mio
family-names: Hienstorfer-Heitmann
email: mio.hienstorfer-heitmann@gesis.org
affiliation: ' GESIS – Leibniz Institute for the Social Sciences '
GitHub Events
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- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
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- Bot pull requests: 0
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- Average time to close issues: N/A
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- Average comments per issue: 0
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- Bot pull requests: 0