https://github.com/csteinmetz1/aes-presenters-145th
Analysis of papers and presenters at the 145th AES Convention in NYC
Science Score: 13.0%
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
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○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 (4.9%) to scientific vocabulary
Repository
Analysis of papers and presenters at the 145th AES Convention in NYC
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Metadata Files
README.md
145th AES Convention Stats
Analysis and statistics of accpeted papers and presenters at the 145th AES Convention October 17-21, 2018 - New York, New York
The statistics for the accepted papers comes from the convention table of contents page. The presenters statistics are more general with respect to the convention program and cover talks and events outside of the technical/academic program. It is based upon the presenter list on the convention website.
Papers
This section outlines statistics related to papers accepted to the convention. This includes papers that are presented in the form of talks as well as posters.
Total number of accepted papers: 142
Total number of affiliations: 140
Total number of subjects: 11
Total number of unqiue abstract words: 3270
Top Authors
Top Affiliations
Top Subjects
Top Abstract Words
Presenters
This section outlines statistics about all of the presenters at the convention. It it not limited to just accepted papers.
Total number of presenters: 651
Total number of affiliations: 423
Total number of cities: 260
Total number of countries: 57
Top Affiliations
Top Cities
Top Countries
Disclaimer
These statistics are only estimates. Formatting discrepancies in the scrapped data may skew some of these metrics.
Owner
- Name: Christian J. Steinmetz
- Login: csteinmetz1
- Kind: user
- Location: London, UK
- Company: @aim-qmul
- Website: christiansteinmetz.com
- Twitter: csteinmetz1
- Repositories: 79
- Profile: https://github.com/csteinmetz1
Machine learning for Hi-Fi audio. PhD Researcher at C4DM.
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