| Title |
A general Landsat model to predict canopy defoliation in broadleaf deciduous forests
|
|---|---|
| Published in |
Remote Sensing of Environment, April 2012
|
| DOI | 10.1016/j.rse.2011.12.023 |
| Authors |
Philip A. Townsend, Aditya Singh, Jane R. Foster, Nathan J. Rehberg, Clayton C. Kingdon, Keith N. Eshleman, Steven W. Seagle |
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 % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| Brazil | 3 | 2% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 143 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 23% |
| Researcher | 36 | 23% |
| Student > Master | 20 | 13% |
| Student > Doctoral Student | 14 | 9% |
| Professor > Associate Professor | 9 | 6% |
| Other | 17 | 11% |
| Unknown | 22 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 57 | 37% |
| Agricultural and Biological Sciences | 29 | 19% |
| Earth and Planetary Sciences | 22 | 14% |
| Computer Science | 4 | 3% |
| Engineering | 4 | 3% |
| Other | 7 | 5% |
| Unknown | 31 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 April 2020.
All research outputs
#17,932,284
of 26,017,215 outputs
Outputs from Remote Sensing of Environment
#3,832
of 4,359 outputs
Outputs of similar age
#118,291
of 177,142 outputs
Outputs of similar age from Remote Sensing of Environment
#33
of 36 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,359 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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 177,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.