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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud
|
|---|---|
| Published in |
GIScience & Remote Sensing, November 2019
|
| DOI | 10.1080/15481603.2019.1690780 |
| Authors |
Murali Krishna Gumma, Prasad S. Thenkabail, Pardhasaradhi G. Teluguntla, Adam Oliphant, Jun Xiong, Chandra Giri, Vineetha Pyla, Sreenath Dixit, Anthony M Whitbread |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 242 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 36 | 15% |
| Researcher | 34 | 14% |
| Student > Ph. D. Student | 21 | 9% |
| Student > Bachelor | 15 | 6% |
| Student > Doctoral Student | 13 | 5% |
| Other | 28 | 12% |
| Unknown | 95 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 31 | 13% |
| Earth and Planetary Sciences | 28 | 12% |
| Agricultural and Biological Sciences | 27 | 11% |
| Environmental Science | 26 | 11% |
| Computer Science | 16 | 7% |
| Other | 15 | 6% |
| Unknown | 99 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 18 December 2019.
All research outputs
#13,563,509
of 23,177,498 outputs
Outputs from GIScience & Remote Sensing
#66
of 139 outputs
Outputs of similar age
#220,265
of 457,718 outputs
Outputs of similar age from GIScience & Remote Sensing
#2
of 3 outputs
Altmetric has tracked 23,177,498 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 139 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 52% 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 457,718 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 51% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.