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Mendeley readers
Chapter title |
Algorithms for Crime Prediction in Smart Cities Through Data Mining
|
---|---|
Chapter number | 45 |
Book title |
Developments and Advances in Defense and Security
|
Published by |
Springer, Singapore, May 2020
|
DOI | 10.1007/978-981-15-4875-8_45 |
Book ISBNs |
978-9-81-154874-1, 978-9-81-154875-8
|
Authors |
Jesús Silva, Ligia Romero, Roberto Jiménez González, Omar Larios, Fanny Barrantes, Omar Bonerge Pineda Lezama, Alberto Manotas, Silva, Jesús, Romero, Ligia, González, Roberto Jiménez, Larios, Omar, Barrantes, Fanny, Lezama, Omar Bonerge Pineda, Manotas, Alberto |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 36% |
Professor > Associate Professor | 1 | 9% |
Professor | 1 | 9% |
Unknown | 5 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 18% |
Computer Science | 1 | 9% |
Nursing and Health Professions | 1 | 9% |
Social Sciences | 1 | 9% |
Design | 1 | 9% |
Other | 0 | 0% |
Unknown | 5 | 45% |