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Twitter Demographics
Mendeley readers
Title |
Establishing Propagation Nodes as a Basis for Preventing Large Wildfires: The Proposed Methodology
|
---|---|
Published in |
Frontiers in Forests and Global Change, December 2020
|
DOI | 10.3389/ffgc.2020.548799 |
Authors |
Raúl Quílez, Luz Valbuena, Jordi Vendrell, Kathleen Uytewaal, Joaquín Ramirez |
Twitter Demographics
The data shown below were collected from the profiles of 25 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 8 | 32% |
Switzerland | 1 | 4% |
Ecuador | 1 | 4% |
United States | 1 | 4% |
Unknown | 14 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 22 | 88% |
Scientists | 2 | 8% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 18% |
Lecturer | 2 | 9% |
Other | 2 | 9% |
Student > Bachelor | 2 | 9% |
Librarian | 1 | 5% |
Other | 4 | 18% |
Unknown | 7 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 3 | 14% |
Environmental Science | 2 | 9% |
Engineering | 2 | 9% |
Social Sciences | 2 | 9% |
Unspecified | 1 | 5% |
Other | 4 | 18% |
Unknown | 8 | 36% |