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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GSFLOW–GRASS v1.0.0: GIS-enabled hydrologic modeling of coupled groundwater–surface-water systems
|
|---|---|
| Published in |
Geoscientific Model Development, November 2018
|
| DOI | 10.5194/gmd-11-4755-2018 |
| Authors |
G.-H. Crystal Ng, Andrew D. Wickert, Lauren D. Somers, Leila Saberi, Collin Cronkite-Ratcliff, Richard G. Niswonger, Jeffrey M. McKenzie |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 26% |
| Researcher | 12 | 20% |
| Student > Master | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Professor > Associate Professor | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 14 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 16 | 26% |
| Environmental Science | 10 | 16% |
| Engineering | 8 | 13% |
| Agricultural and Biological Sciences | 2 | 3% |
| Arts and Humanities | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 22 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 April 2019.
All research outputs
#14,605,097
of 25,385,509 outputs
Outputs from Geoscientific Model Development
#818
of 2,044 outputs
Outputs of similar age
#219,388
of 445,553 outputs
Outputs of similar age from Geoscientific Model Development
#10
of 22 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,044 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 59% 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 445,553 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 50% of its contemporaries.
We're also able to compare this research output to 22 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 54% of its contemporaries.