https://github.com/dimits-ts/disruptive-science-study
Predicting the impact of scientific papers using traditional machine learning models and NLP
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: nature.com -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.3%) to scientific vocabulary
Keywords
Repository
Predicting the impact of scientific papers using traditional machine learning models and NLP
Basic Info
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- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files
README.md
disruptive-science-study
A recent paper in Nature created a stir in the scientific community, arguing that science is becoming less disruptive over time. According to the study, there are fewer groundbreaking papers in recent years. It appears that trailblazers are rare and that most research tends to build and expand existing research rather than opening up new paths of inquiry.
While there already is a method with which we can judge whether a paper was impactful, there hasn't so far been an attempt to predict its impact. This project aims at achieving that using publically available data, traditional machine learning models and modern NLP methods.
Credit to professor Panagiotis Louridas for originally assigning the project, as well as migrating the data to an easy-to-use SQLite DB.
Owner
- Name: Dimitris Tsirmpas
- Login: dimits-ts
- Kind: user
- Repositories: 1
- Profile: https://github.com/dimits-ts
I like playing around with data and building stuff.
GitHub Events
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Last synced: 9 months ago
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- Average time to close issues: 1 day
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- Total issue authors: 1
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- Average comments per issue: 1.0
- Average comments per pull request: 0
- Merged pull requests: 0
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- Bot pull requests: 0
Past Year
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- Average time to close issues: N/A
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- Average comments per issue: 0
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Top Authors
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- alin256 (1)