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 |
GEB v0.1: a large-scale agent-based socio-hydrological model – simulating 10 million individual farming households in a fully distributed hydrological model
|
---|---|
Published in |
Geoscientific Model Development, May 2023
|
DOI | 10.5194/gmd-16-2437-2023 |
Authors |
Jens A. de Bruijn, Mikhail Smilovic, Peter Burek, Luca Guillaumot, Yoshihide Wada, Jeroen C. J. H. Aerts |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 3 | 16% |
India | 2 | 11% |
United States | 1 | 5% |
Germany | 1 | 5% |
United Kingdom | 1 | 5% |
Unknown | 11 | 58% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 53% |
Scientists | 8 | 42% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
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 > Master | 5 | 13% |
Student > Doctoral Student | 3 | 8% |
Other | 2 | 5% |
Other | 4 | 11% |
Unknown | 12 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 9 | 24% |
Engineering | 8 | 21% |
Economics, Econometrics and Finance | 3 | 8% |
Unspecified | 1 | 3% |
Physics and Astronomy | 1 | 3% |
Other | 3 | 8% |
Unknown | 13 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 14 May 2023.
All research outputs
#3,188,958
of 25,394,764 outputs
Outputs from Geoscientific Model Development
#161
of 2,047 outputs
Outputs of similar age
#59,536
of 400,871 outputs
Outputs of similar age from Geoscientific Model Development
#5
of 84 outputs
Altmetric has tracked 25,394,764 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 2,047 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 92% 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 400,871 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 85% of its contemporaries.
We're also able to compare this research output to 84 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 94% of its contemporaries.