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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Long-Term (1986–2015) Crop Water Use Characterization over the Upper Rio Grande Basin of United States and Mexico Using Landsat-Based Evapotranspiration
|
|---|---|
| Published in |
Remote Sensing, July 2019
|
| DOI | 10.3390/rs11131587 |
| Authors |
Gabriel B. Senay, Matthew Schauer, Naga M. Velpuri, Ramesh K. Singh, Stefanie Kagone, MacKenzie Friedrichs, Marcy E. Litvak, Kyle R. Douglas-Mankin |
X Demographics
The data shown below were collected from the profiles of 13 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 | 3 | 23% |
| Japan | 2 | 15% |
| Dominican Republic | 1 | 8% |
| Mexico | 1 | 8% |
| Saudi Arabia | 1 | 8% |
| Colombia | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 2 | 15% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 21% |
| Researcher | 8 | 19% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Doctoral Student | 3 | 7% |
| Professor | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 10 | 23% |
| Agricultural and Biological Sciences | 6 | 14% |
| Engineering | 4 | 9% |
| Earth and Planetary Sciences | 3 | 7% |
| Computer Science | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 16 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 July 2020.
All research outputs
#4,554,985
of 25,376,589 outputs
Outputs from Remote Sensing
#1,559
of 13,286 outputs
Outputs of similar age
#81,871
of 355,487 outputs
Outputs of similar age from Remote Sensing
#46
of 300 outputs
Altmetric has tracked 25,376,589 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,286 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 355,487 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 300 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.