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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning as a Tool to Forecast Hydrologic Response for Landslide‐Prone Hillslopes
|
|---|---|
| Published in |
Geophysical Research Letters, August 2020
|
| DOI | 10.1029/2020gl088731 |
| Authors |
Elijah Orland, Joshua J. Roering, Matthew A. Thomas, Benjamin B. Mirus |
X Demographics
The data shown below were collected from the profiles of 6 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 | 3 | 50% |
| Germany | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 16% |
| Student > Ph. D. Student | 6 | 16% |
| Student > Doctoral Student | 5 | 13% |
| Student > Master | 4 | 11% |
| Professor > Associate Professor | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 13 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 21% |
| Earth and Planetary Sciences | 6 | 16% |
| Environmental Science | 5 | 13% |
| Computer Science | 1 | 3% |
| Unknown | 18 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 20 November 2020.
All research outputs
#6,851,228
of 23,221,875 outputs
Outputs from Geophysical Research Letters
#8,762
of 19,771 outputs
Outputs of similar age
#144,853
of 398,502 outputs
Outputs of similar age from Geophysical Research Letters
#224
of 386 outputs
Altmetric has tracked 23,221,875 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 19,771 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.2. This one has gotten more attention than average, scoring higher than 55% 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 398,502 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 386 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.