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X Demographics
Mendeley readers
Chapter title |
Use of Machine Learning (ML) for Predicting and Analyzing Ecological and ‘Presence Only’ Data: An Overview of Applications and a Good Outlook
|
---|---|
Chapter number | 2 |
Book title |
Machine Learning for Ecology and Sustainable Natural Resource Management
|
Published by |
Springer, Cham, November 2018
|
DOI | 10.1007/978-3-319-96978-7_2 |
Book ISBNs |
978-3-31-996976-3, 978-3-31-996978-7
|
Authors |
Falk Huettmann, Erica H. Craig, Keiko A. Herrick, Andrew P. Baltensperger, Grant R. W. Humphries, David J. Lieske, Katharine Miller, Timothy C. Mullet, Steffen Oppel, Cynthia Resendiz, Imme Rutzen, Moritz S. Schmid, Madan K. Suwal, Brian D. Young, Huettmann, Falk, Craig, Erica H., Herrick, Keiko A., Baltensperger, Andrew P., Humphries, Grant R. W., Lieske, David J., Miller, Katharine, Mullet, Timothy C., Oppel, Steffen, Resendiz, Cynthia, Rutzen, Imme, Schmid, Moritz S., Suwal, Madan K., Young, Brian D. |
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 % |
---|---|---|
United States | 1 | 50% |
Nepal | 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 32% |
Student > Ph. D. Student | 2 | 11% |
Professor | 2 | 11% |
Other | 1 | 5% |
Student > Master | 1 | 5% |
Other | 1 | 5% |
Unknown | 6 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 5 | 26% |
Agricultural and Biological Sciences | 2 | 11% |
Mathematics | 1 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Earth and Planetary Sciences | 1 | 5% |
Other | 1 | 5% |
Unknown | 8 | 42% |