You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations
|
|---|---|
| Published in |
Frontiers in Water, June 2023
|
| DOI | 10.3389/frwa.2023.1184992 |
| Authors |
Jacob A. Zwart, Jeremy Diaz, Scott Hamshaw, Samantha Oliver, Jesse C. Ross, Margaux Sleckman, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Jordan Read, Jeffrey Sadler, Theodore Thompson, David Watkins, Elaheh White |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 43% |
| Student > Ph. D. Student | 1 | 14% |
| Student > Postgraduate | 1 | 14% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 29% |
| Environmental Science | 1 | 14% |
| Economics, Econometrics and Finance | 1 | 14% |
| Earth and Planetary Sciences | 1 | 14% |
| Unknown | 2 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 June 2023.
All research outputs
#19,488,095
of 23,966,197 outputs
Outputs from Frontiers in Water
#358
of 602 outputs
Outputs of similar age
#134,985
of 188,170 outputs
Outputs of similar age from Frontiers in Water
#9
of 25 outputs
Altmetric has tracked 23,966,197 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 602 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 188,170 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.