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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine
|
|---|---|
| Published in |
Remote Sensing, October 2017
|
| DOI | 10.3390/rs9101065 |
| Authors |
Jun Xiong, Prasad Thenkabail, James Tilton, Murali Gumma, Pardhasaradhi Teluguntla, Adam Oliphant, Russell Congalton, Kamini Yadav, Noel Gorelick |
X Demographics
The data shown below were collected from the profiles of 45 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 | 7 | 16% |
| United Kingdom | 5 | 11% |
| Germany | 2 | 4% |
| Spain | 2 | 4% |
| Canada | 2 | 4% |
| Colombia | 2 | 4% |
| Mexico | 1 | 2% |
| Malaysia | 1 | 2% |
| Ecuador | 1 | 2% |
| Other | 8 | 18% |
| Unknown | 14 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 60% |
| Scientists | 14 | 31% |
| Science communicators (journalists, bloggers, editors) | 4 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 645 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 645 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 114 | 18% |
| Student > Ph. D. Student | 103 | 16% |
| Researcher | 97 | 15% |
| Student > Bachelor | 39 | 6% |
| Student > Doctoral Student | 37 | 6% |
| Other | 100 | 16% |
| Unknown | 155 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 130 | 20% |
| Earth and Planetary Sciences | 102 | 16% |
| Agricultural and Biological Sciences | 71 | 11% |
| Engineering | 69 | 11% |
| Computer Science | 19 | 3% |
| Other | 47 | 7% |
| Unknown | 207 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 01 November 2023.
All research outputs
#963,002
of 25,392,205 outputs
Outputs from Remote Sensing
#169
of 13,266 outputs
Outputs of similar age
#19,729
of 333,646 outputs
Outputs of similar age from Remote Sensing
#1
of 221 outputs
Altmetric has tracked 25,392,205 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,266 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 98% 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 333,646 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 221 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 99% of its contemporaries.