↓ Skip to main content

HydroBench: Jupyter supported reproducible hydrological model benchmarking and diagnostic tool

Overview of attention for article published in Frontiers in Earth Science, September 2022
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
9 Mendeley
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.
Title
HydroBench: Jupyter supported reproducible hydrological model benchmarking and diagnostic tool
Published in
Frontiers in Earth Science, September 2022
DOI 10.3389/feart.2022.884766
Authors

Edom Moges, Benjamin L. Ruddell, Liang Zhang, Jessica M. Driscoll, Parker Norton, Fernando Perez, Laurel G. Larsen

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Researcher 2 22%
Student > Master 1 11%
Unknown 3 33%
Readers by discipline Count As %
Environmental Science 3 33%
Engineering 2 22%
Earth and Planetary Sciences 1 11%
Unknown 3 33%
Attention Score in Context

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 07 November 2022.
All research outputs
#13,022,412
of 23,056,273 outputs
Outputs from Frontiers in Earth Science
#1,135
of 4,677 outputs
Outputs of similar age
#158,833
of 438,677 outputs
Outputs of similar age from Frontiers in Earth Science
#58
of 358 outputs
Altmetric has tracked 23,056,273 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,677 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 75% 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 438,677 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 358 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.