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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine Cloud
|
|---|---|
| Published in |
International Journal of Applied Earth Observation & Geoinformation, September 2019
|
| DOI | 10.1016/j.jag.2018.11.014 |
| Authors |
Adam J. Oliphant, Prasad S. Thenkabail, Pardhasaradhi Teluguntla, Jun Xiong, Murali Krishna Gumma, Russell G. Congalton, Kamini Yadav |
X Demographics
The data shown below were collected from the profiles of 16 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 | 4 | 25% |
| Mexico | 1 | 6% |
| Hong Kong | 1 | 6% |
| Egypt | 1 | 6% |
| Bolivia, Plurinational State of | 1 | 6% |
| Colombia | 1 | 6% |
| China | 1 | 6% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 81% |
| Scientists | 3 | 19% |
Mendeley readers
The data shown below were compiled from readership statistics for 366 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 366 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 49 | 13% |
| Student > Master | 47 | 13% |
| Student > Ph. D. Student | 35 | 10% |
| Lecturer | 22 | 6% |
| Student > Doctoral Student | 17 | 5% |
| Other | 43 | 12% |
| Unknown | 153 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 43 | 12% |
| Earth and Planetary Sciences | 36 | 10% |
| Engineering | 35 | 10% |
| Agricultural and Biological Sciences | 26 | 7% |
| Computer Science | 18 | 5% |
| Other | 46 | 13% |
| Unknown | 162 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 25 June 2019.
All research outputs
#4,226,486
of 25,462,162 outputs
Outputs from International Journal of Applied Earth Observation & Geoinformation
#165
of 1,634 outputs
Outputs of similar age
#77,315
of 350,324 outputs
Outputs of similar age from International Journal of Applied Earth Observation & Geoinformation
#6
of 32 outputs
Altmetric has tracked 25,462,162 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,634 research outputs from this source. They receive a mean Attention Score of 4.5. 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 350,324 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 77% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.