| Title |
Assessment of different methods for shadow detection in high-resolution optical imagery and evaluation of shadow impact on calculation of NDVI, and evapotranspiration
|
|---|---|
| Published in |
Irrigation Science, December 2018
|
| DOI | 10.1007/s00271-018-0613-9 |
| Pubmed ID | |
| Authors |
Mahyar Aboutalebi, Alfonso F. Torres-Rua, William P. Kustas, Héctor Nieto, Calvin Coopmans, Mac McKee |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 20% |
| Student > Ph. D. Student | 14 | 19% |
| Student > Master | 9 | 12% |
| Student > Bachelor | 6 | 8% |
| Professor | 4 | 5% |
| Other | 10 | 14% |
| Unknown | 16 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 18% |
| Environmental Science | 11 | 15% |
| Earth and Planetary Sciences | 9 | 12% |
| Engineering | 8 | 11% |
| Computer Science | 6 | 8% |
| Other | 8 | 11% |
| Unknown | 19 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 20 December 2018.
All research outputs
#5,742,562
of 23,117,738 outputs
Outputs from Irrigation Science
#29
of 171 outputs
Outputs of similar age
#114,885
of 436,852 outputs
Outputs of similar age from Irrigation Science
#1
of 2 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 171 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 83% 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 436,852 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them