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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantifying Western U.S. Rangelands as Fractional Components with Multi-Resolution Remote Sensing and In Situ Data
|
|---|---|
| Published in |
Remote Sensing, January 2020
|
| DOI | 10.3390/rs12030412 |
| Authors |
Matthew Rigge, Collin Homer, Lauren Cleeves, Debra K. Meyer, Brett Bunde, Hua Shi, George Xian, Spencer Schell, Matthew Bobo |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 33% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 19% |
| Researcher | 12 | 17% |
| Student > Master | 11 | 16% |
| Student > Doctoral Student | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Other | 10 | 14% |
| Unknown | 14 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 27% |
| Environmental Science | 13 | 19% |
| Earth and Planetary Sciences | 6 | 9% |
| Computer Science | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 22 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 27 February 2020.
All research outputs
#5,691,825
of 23,191,112 outputs
Outputs from Remote Sensing
#2,019
of 11,585 outputs
Outputs of similar age
#118,912
of 451,477 outputs
Outputs of similar age from Remote Sensing
#104
of 609 outputs
Altmetric has tracked 23,191,112 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,585 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 82% 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 451,477 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 609 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.