You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Seasonal cultivated and fallow cropland mapping using MODIS-based automated cropland classification algorithm
|
|---|---|
| Published in |
Journal of Applied Remote Sensing, January 2014
|
| DOI | 10.1117/1.jrs.8.083685 |
| Authors |
Zhuoting Wu, Prasad S. Thenkabail, Rick Mueller, Audra Zakzeski, Forrest Melton, Lee Johnson, Carolyn Rosevelt, John Dwyer, Jeanine Jones, James P. Verdin |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 23% |
| Student > Ph. D. Student | 12 | 21% |
| Student > Master | 10 | 18% |
| Student > Postgraduate | 6 | 11% |
| Lecturer | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 20 | 36% |
| Environmental Science | 13 | 23% |
| Engineering | 4 | 7% |
| Computer Science | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 11 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 February 2014.
All research outputs
#14,189,417
of 22,743,667 outputs
Outputs from Journal of Applied Remote Sensing
#185
of 409 outputs
Outputs of similar age
#173,413
of 308,149 outputs
Outputs of similar age from Journal of Applied Remote Sensing
#12
of 18 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 409 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. 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 308,149 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.