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X Demographics
Mendeley readers
Title |
Lumen: A machine learning framework to expose influence cues in texts
|
---|---|
Published in |
Frontiers in Computer Science, August 2022
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DOI | 10.3389/fcomp.2022.929515 |
Authors |
Hanyu Shi, Mirela Silva, Luiz Giovanini, Daniel Capecci, Lauren Czech, Juliana Fernandes, Daniela Oliveira |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 25% |
Researcher | 1 | 8% |
Lecturer > Senior Lecturer | 1 | 8% |
Unknown | 7 | 58% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 33% |
Chemical Engineering | 1 | 8% |
Unknown | 7 | 58% |