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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery
|
|---|---|
| Published in |
Remote Sensing of Environment, June 2020
|
| DOI | 10.1016/j.rse.2020.111752 |
| Authors |
Feng Gao, Martha Anderson, Craig Daughtry, Arnon Karnieli, Dean Hively, William Kustas |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Uruguay | 2 | 10% |
| France | 2 | 10% |
| Comoros | 1 | 5% |
| United States | 1 | 5% |
| Australia | 1 | 5% |
| Portugal | 1 | 5% |
| Belize | 1 | 5% |
| Thailand | 1 | 5% |
| Austria | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 7 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 71% |
| Scientists | 6 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 146 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 16% |
| Student > Ph. D. Student | 22 | 15% |
| Researcher | 21 | 14% |
| Student > Bachelor | 9 | 6% |
| Student > Postgraduate | 6 | 4% |
| Other | 11 | 8% |
| Unknown | 54 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 28 | 19% |
| Agricultural and Biological Sciences | 17 | 12% |
| Earth and Planetary Sciences | 11 | 8% |
| Engineering | 6 | 4% |
| Economics, Econometrics and Finance | 2 | 1% |
| Other | 10 | 7% |
| Unknown | 72 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 27 January 2022.
All research outputs
#2,188,826
of 25,387,668 outputs
Outputs from Remote Sensing of Environment
#498
of 3,694 outputs
Outputs of similar age
#61,581
of 433,033 outputs
Outputs of similar age from Remote Sensing of Environment
#8
of 43 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,694 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done well, scoring higher than 86% 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 433,033 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 85% of its contemporaries.
We're also able to compare this research output to 43 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.