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X Demographics
Mendeley readers
Chapter title |
Prediction of the Efficiency for Decision Making in the Agricultural Sector Through Artificial Intelligence
|
---|---|
Chapter number | 91 |
Book title |
Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications
|
Published in |
Advances in Intelligent Systems and Computing, January 2021
|
DOI | 10.1007/978-981-15-7234-0_91 |
Book ISBNs |
978-9-81-157233-3, 978-9-81-157234-0
|
Authors |
Amelec Viloria, Alex Ruiz-Lazaro, Ana Maria Echeverría González, Omar Bonerge Pineda Lezama, Juan Lamby, Nadia Leon Castro, Viloria, Amelec, Ruiz Lázaro, Alex, Echeverría González, Ana Maria, Pineda Lezama, Omar Bonerge, Lamby Barrios, Juan Guillermo, Leon Castro, Nadia |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 18% |
Researcher | 3 | 18% |
Student > Ph. D. Student | 2 | 12% |
Professor | 1 | 6% |
Unknown | 8 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 18% |
Business, Management and Accounting | 2 | 12% |
Engineering | 2 | 12% |
Social Sciences | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Other | 0 | 0% |
Unknown | 8 | 47% |