The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Stream Temperature Prediction in a Shifting Environment: Explaining the Influence of Deep Learning Architecture
|
|---|---|
| Published in |
Water Resources Research, April 2023
|
| DOI | 10.1029/2022wr033880 |
| Authors |
Simon N. Topp, Janet Barclay, Jeremy Diaz, Alexander Y. Sun, Xiaowei Jia, Dan Lu, Jeffrey M. Sadler, Alison P. Appling |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 11% |
| Saudi Arabia | 1 | 6% |
| Venezuela, Bolivarian Republic of | 1 | 6% |
| Indonesia | 1 | 6% |
| Colombia | 1 | 6% |
| Mexico | 1 | 6% |
| Unknown | 11 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 72% |
| Scientists | 5 | 28% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Student > Ph. D. Student | 4 | 17% |
| Student > Master | 2 | 8% |
| Other | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 12 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 3 | 13% |
| Earth and Planetary Sciences | 3 | 13% |
| Engineering | 2 | 8% |
| Computer Science | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 08 April 2023.
All research outputs
#3,094,834
of 25,364,603 outputs
Outputs from Water Resources Research
#618
of 5,239 outputs
Outputs of similar age
#58,813
of 410,212 outputs
Outputs of similar age from Water Resources Research
#12
of 75 outputs
Altmetric has tracked 25,364,603 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,239 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done well, scoring higher than 88% 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 410,212 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 87% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.