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.
Attention Score in Context
GEB v0.1: a large-scale agent-based socio-hydrological model – simulating 10 million individual farming households in a fully distributed hydrological model
Geoscientific Model Development, May 2023
Jens A. de Bruijn, Mikhail Smilovic, Peter Burek, Luca Guillaumot, Yoshihide Wada, Jeroen C. J. H. Aerts
The data shown below were collected from the profiles of 20 tweeters who shared this research output. Click here to find out more about how the information was compiled.
|Members of the public||11||55%|
|Science communicators (journalists, bloggers, editors)||1||5%|
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Ph. D. Student||4||18%|
|Student > Master||4||18%|
|Student > Doctoral Student||2||9%|
|Readers by discipline||Count||As %|
|Physics and Astronomy||1||5%|
|Agricultural and Biological Sciences||1||5%|
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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
of 24,257,370 outputs
Outputs from Geoscientific Model Development
of 2,943 outputs
Outputs of similar age
of 379,306 outputs
Outputs of similar age from Geoscientific Model Development
of 84 outputs
Altmetric has tracked 24,257,370 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,943 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 95% 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 379,306 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 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 95% of its contemporaries.