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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Process‐Guided Deep Learning Predictions of Lake Water Temperature
|
|---|---|
| Published in |
Water Resources Research, November 2019
|
| DOI | 10.1029/2019wr024922 |
| Authors |
Jordan S. Read, Xiaowei Jia, Jared Willard, Alison P. Appling, Jacob A. Zwart, Samantha K. Oliver, Anuj Karpatne, Gretchen J. A. Hansen, Paul C. Hanson, William Watkins, Michael Steinbach, Vipin Kumar |
X Demographics
The data shown below were collected from the profiles of 74 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 | 28 | 38% |
| Canada | 3 | 4% |
| Japan | 2 | 3% |
| United Kingdom | 1 | 1% |
| Chile | 1 | 1% |
| Morocco | 1 | 1% |
| Denmark | 1 | 1% |
| Greece | 1 | 1% |
| Moldova, Republic of | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 30 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 43 | 58% |
| Scientists | 27 | 36% |
| Science communicators (journalists, bloggers, editors) | 3 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 263 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 20% |
| Researcher | 40 | 15% |
| Student > Master | 34 | 13% |
| Other | 13 | 5% |
| Student > Doctoral Student | 10 | 4% |
| Other | 42 | 16% |
| Unknown | 71 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 43 | 16% |
| Engineering | 42 | 16% |
| Earth and Planetary Sciences | 28 | 11% |
| Agricultural and Biological Sciences | 19 | 7% |
| Computer Science | 11 | 4% |
| Other | 28 | 11% |
| Unknown | 92 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 48. 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 23 June 2021.
All research outputs
#887,195
of 25,654,566 outputs
Outputs from Water Resources Research
#146
of 5,300 outputs
Outputs of similar age
#18,195
of 357,821 outputs
Outputs of similar age from Water Resources Research
#4
of 100 outputs
Altmetric has tracked 25,654,566 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 5,300 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done particularly well, scoring higher than 97% 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 357,821 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 100 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 96% of its contemporaries.