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X Demographics
Mendeley readers
Title |
EPPO ontology: a semantic-driven approach for plant and pest codes representation
|
---|---|
Published in |
Frontiers in Artificial Intelligence, June 2023
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DOI | 10.3389/frai.2023.1131667 |
Pubmed ID | |
Authors |
Aarón Ayllón-Benitez, José Antonio Bernabé-Diaz, Paola Espinoza-Arias, Iker Esnaola-Gonzalez, Delphine S. A. Beeckman, Bonnie McCaig, Kristin Hanzlik, Toon Cools, Carlos Castro Iragorri, Nicolás Palacios |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 25% |
Spain | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 2 | 50% |
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 % |
---|---|---|
Researcher | 3 | 43% |
Unspecified | 1 | 14% |
Student > Bachelor | 1 | 14% |
Student > Ph. D. Student | 1 | 14% |
Unknown | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 43% |
Unspecified | 1 | 14% |
Agricultural and Biological Sciences | 1 | 14% |
Engineering | 1 | 14% |
Unknown | 1 | 14% |