| Title |
Evapotranspiration estimates derived using thermal-based satellite remote sensing and data fusion for irrigation management in California vineyards
|
|---|---|
| Published in |
Irrigation Science, October 2018
|
| DOI | 10.1007/s00271-018-0591-y |
| Authors |
Kyle R. Knipper, William P. Kustas, Martha C. Anderson, Joseph G. Alfieri, John H. Prueger, Christopher R. Hain, Feng Gao, Yun Yang, Lynn G. McKee, Hector Nieto, Lawrence E. Hipps, Maria Mar Alsina, Luis Sanchez |
X Demographics
The data shown below were collected from the profiles of 13 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 | 8 | 62% |
| Spain | 2 | 15% |
| Thailand | 1 | 8% |
| Argentina | 1 | 8% |
| Colombia | 1 | 8% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Scientists | 3 | 23% |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 144 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 22% |
| Student > Ph. D. Student | 23 | 16% |
| Student > Master | 17 | 12% |
| Student > Doctoral Student | 8 | 6% |
| Student > Postgraduate | 6 | 4% |
| Other | 14 | 10% |
| Unknown | 45 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 26% |
| Environmental Science | 19 | 13% |
| Engineering | 15 | 10% |
| Earth and Planetary Sciences | 13 | 9% |
| Nursing and Health Professions | 2 | 1% |
| Other | 6 | 4% |
| Unknown | 52 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 22 February 2020.
All research outputs
#3,597,709
of 23,106,934 outputs
Outputs from Irrigation Science
#11
of 171 outputs
Outputs of similar age
#71,865
of 346,060 outputs
Outputs of similar age from Irrigation Science
#2
of 4 outputs
Altmetric has tracked 23,106,934 research outputs across all sources so far. Compared to these this one has done well and is in the 84th 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 particularly well, scoring higher than 93% 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 346,060 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 79% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.