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X Demographics
Mendeley readers
Title |
Considering Performance in the Automated and Manual Coding of Sociolinguistic Variables: Lessons From Variable (ING)
|
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Published in |
Frontiers in Artificial Intelligence, April 2021
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DOI | 10.3389/frai.2021.648543 |
Pubmed ID | |
Authors |
Tyler Kendall, Charlotte Vaughn, Charlie Farrington, Kaylynn Gunter, Jaidan McLean, Chloe Tacata, Shelby Arnson |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 42% |
United Kingdom | 1 | 8% |
Switzerland | 1 | 8% |
Canada | 1 | 8% |
Unknown | 4 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 67% |
Scientists | 4 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 29% |
Student > Postgraduate | 1 | 14% |
Student > Ph. D. Student | 1 | 14% |
Unknown | 3 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 2 | 29% |
Linguistics | 1 | 14% |
Mathematics | 1 | 14% |
Unknown | 3 | 43% |