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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Climate sensitivity of water use by riparian woodlands at landscape scales
|
|---|---|
| Published in |
Hydrological Processes, November 2020
|
| DOI | 10.1002/hyp.13942 |
| Authors |
Marc Mayes, Kelly K. Caylor, Michael Bliss Singer, John C. Stella, Dar Roberts, Pamela Nagler |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 20% |
| Belize | 1 | 20% |
| United States | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 22% |
| Student > Ph. D. Student | 8 | 16% |
| Student > Master | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 14 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 17 | 34% |
| Engineering | 7 | 14% |
| Agricultural and Biological Sciences | 3 | 6% |
| Medicine and Dentistry | 2 | 4% |
| Unspecified | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 16 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 46. 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 21 December 2020.
All research outputs
#786,119
of 23,262,131 outputs
Outputs from Hydrological Processes
#27
of 1,977 outputs
Outputs of similar age
#22,312
of 418,672 outputs
Outputs of similar age from Hydrological Processes
#1
of 43 outputs
Altmetric has tracked 23,262,131 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,977 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 98% 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 418,672 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% 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 particularly well, scoring higher than 97% of its contemporaries.