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Mendeley readers
Chapter title |
Fields as a Generic Data Type for Big Spatial Data
|
---|---|
Chapter number | 11 |
Book title |
Geographic Information Science
|
Published by |
Springer, Cham, September 2014
|
DOI | 10.1007/978-3-319-11593-1_11 |
Book ISBNs |
978-3-31-911592-4, 978-3-31-911593-1
|
Authors |
Gilberto Camara, Max J. Egenhofer, Karine Ferreira, Pedro Andrade, Gilberto Queiroz, Alber Sanchez, Jim Jones, Lubia Vinhas |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 4% |
France | 1 | 1% |
Switzerland | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 65 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 21 | 30% |
Researcher | 10 | 14% |
Student > Master | 10 | 14% |
Other | 8 | 11% |
Professor | 5 | 7% |
Other | 12 | 17% |
Unknown | 5 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 34 | 48% |
Earth and Planetary Sciences | 11 | 15% |
Engineering | 7 | 10% |
Environmental Science | 3 | 4% |
Social Sciences | 2 | 3% |
Other | 6 | 8% |
Unknown | 8 | 11% |