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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative
|
|---|---|
| Published in |
ISPRS Journal of Photogrammetry & Remote Sensing, December 2016
|
| DOI | 10.1016/j.isprsjprs.2016.11.004 |
| Authors |
Zhe Zhu, Alisa L. Gallant, Curtis E. Woodcock, Bruce Pengra, Pontus Olofsson, Thomas R. Loveland, Suming Jin, Devendra Dahal, Limin Yang, Roger F. Auch |
X Demographics
The data shown below were collected from the profiles of 18 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 | 6 | 33% |
| Canada | 1 | 6% |
| India | 1 | 6% |
| Taiwan | 1 | 6% |
| Mexico | 1 | 6% |
| Italy | 1 | 6% |
| Unknown | 7 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 78% |
| Scientists | 3 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Unknown | 213 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 20% |
| Researcher | 33 | 15% |
| Student > Master | 28 | 13% |
| Student > Doctoral Student | 15 | 7% |
| Other | 9 | 4% |
| Other | 25 | 12% |
| Unknown | 61 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 43 | 20% |
| Earth and Planetary Sciences | 40 | 19% |
| Agricultural and Biological Sciences | 15 | 7% |
| Engineering | 15 | 7% |
| Computer Science | 12 | 6% |
| Other | 9 | 4% |
| Unknown | 81 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 13 September 2023.
All research outputs
#2,488,051
of 26,017,215 outputs
Outputs from ISPRS Journal of Photogrammetry & Remote Sensing
#79
of 1,127 outputs
Outputs of similar age
#46,393
of 423,208 outputs
Outputs of similar age from ISPRS Journal of Photogrammetry & Remote Sensing
#1
of 19 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,127 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done well, scoring higher than 89% 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 423,208 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 88% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.