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X Demographics
Mendeley readers
Chapter title |
Predicting Patterns of Plant Diversity and Endemism in the Tropics Using Remote Sensing Data: A Study Case from the Brazilian Atlantic Forest
|
---|---|
Chapter number | 11 |
Book title |
Remote Sensing of Plant Biodiversity
|
Published by |
Springer, Cham, June 2020
|
DOI | 10.1007/978-3-030-33157-3_11 |
Book ISBNs |
978-3-03-033156-6, 978-3-03-033157-3
|
Authors |
Andrea Paz, Marcelo Reginato, Fabián A. Michelangeli, Renato Goldenberg, Mayara K. Caddah, Julián Aguirre-Santoro, Miriam Kaehler, Lúcia G. Lohmann, Ana Carnaval, Paz, Andrea, Reginato, Marcelo, Michelangeli, Fabián A., Goldenberg, Renato, Caddah, Mayara K., Aguirre-Santoro, Julián, Kaehler, Miriam, Lohmann, Lúcia G., Carnaval, Ana |
X Demographics
The data shown below were collected from the profiles of 38 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 | 12 | 32% |
Colombia | 4 | 11% |
United Kingdom | 2 | 5% |
Canada | 2 | 5% |
Brazil | 1 | 3% |
Lithuania | 1 | 3% |
Bolivia, Plurinational State of | 1 | 3% |
Unknown | 15 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 19 | 50% |
Members of the public | 16 | 42% |
Science communicators (journalists, bloggers, editors) | 3 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 36% |
Student > Ph. D. Student | 3 | 21% |
Student > Bachelor | 2 | 14% |
Student > Master | 1 | 7% |
Professor > Associate Professor | 1 | 7% |
Other | 0 | 0% |
Unknown | 2 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 4 | 29% |
Agricultural and Biological Sciences | 3 | 21% |
Computer Science | 1 | 7% |
Earth and Planetary Sciences | 1 | 7% |
Unknown | 5 | 36% |