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X Demographics
Mendeley readers
| Title |
Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements
|
|---|---|
| Published in |
Frontiers in Remote Sensing, April 2022
|
| DOI | 10.3389/frsen.2022.855159 |
| Authors |
Yongxiang Hu, Xiaomei Lu, Xubin Zeng, Snorre A Stamnes, Thomas A. Neuman, Nathan T. Kurtz, Pengwang Zhai, Meng Gao, Wenbo Sun, Kuanman Xu, Zhaoyan Liu, Ali H. Omar, Rosemary R. Baize, Laura J. Rogers, Brandon O. Mitchell, Knut Stamnes, Yuping Huang, Nan Chen, Carl Weimer, Jennifer Lee, Zachary Fair |
X Demographics
The data shown below were collected from the profiles of 74 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 8 | 11% |
| Poland | 4 | 5% |
| India | 4 | 5% |
| Germany | 4 | 5% |
| France | 3 | 4% |
| Brazil | 2 | 3% |
| United States | 2 | 3% |
| Canada | 2 | 3% |
| Italy | 2 | 3% |
| Other | 12 | 16% |
| Unknown | 31 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 64 | 86% |
| Scientists | 6 | 8% |
| Science communicators (journalists, bloggers, editors) | 3 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 3 | 21% |
| Other | 1 | 7% |
| Lecturer | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Student > Master | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 5 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 3 | 21% |
| Environmental Science | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Business, Management and Accounting | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 6 | 43% |