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GCN250, new global gridded curve numbers for hydrologic modeling and design

Overview of attention for article published in Scientific Data, August 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
twitter
8 X users
facebook
1 Facebook page

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
179 Mendeley
Title
GCN250, new global gridded curve numbers for hydrologic modeling and design
Published in
Scientific Data, August 2019
DOI 10.1038/s41597-019-0155-x
Pubmed ID
Authors

Hadi H. Jaafar, Farah A. Ahmad, Naji El Beyrouthy

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 179 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 12%
Student > Master 21 12%
Student > Ph. D. Student 15 8%
Student > Doctoral Student 13 7%
Student > Bachelor 11 6%
Other 31 17%
Unknown 66 37%
Readers by discipline Count As %
Engineering 48 27%
Environmental Science 15 8%
Earth and Planetary Sciences 14 8%
Unspecified 8 4%
Agricultural and Biological Sciences 4 2%
Other 13 7%
Unknown 77 43%
Attention Score in Context

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 21 November 2022.
All research outputs
#2,679,733
of 25,164,268 outputs
Outputs from Scientific Data
#1,022
of 3,202 outputs
Outputs of similar age
#52,781
of 349,275 outputs
Outputs of similar age from Scientific Data
#22
of 77 outputs
Altmetric has tracked 25,164,268 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 3,202 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.5. This one has gotten more attention than average, scoring higher than 68% 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 349,275 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 84% of its contemporaries.
We're also able to compare this research output to 77 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 72% of its contemporaries.