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Operational use of a grid-based model for flood forecasting

Overview of attention for article published in Proceedings of ICE: Water Management, February 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

policy
2 policy sources

Readers on

mendeley
67 Mendeley
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Article details
Title
Operational use of a grid-based model for flood forecasting
Published in
Proceedings of ICE: Water Management, February 2012
DOI 10.1680/wama.2012.165.2.65
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Netherlands 2 3%
Unknown 65 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 15 22%
Student > Master 12 18%
Researcher 8 12%
Other 3 4%
Student > Doctoral Student 3 4%
Other 9 13%
Unknown 17 25%
Readers by discipline
Readers by discipline Count As %
Engineering 20 30%
Earth and Planetary Sciences 11 16%
Environmental Science 9 13%
Social Sciences 3 4%
Computer Science 2 3%
Other 4 6%
Unknown 18 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 January 2023.
All research outputs
#7,639,012
of 34,545,128 outputs
Outputs from Proceedings of ICE: Water Management
#8
of 87 outputs
Outputs of similar age
#58,263
of 306,812 outputs
Outputs of similar age from Proceedings of ICE: Water Management
#1
of 5 outputs
Altmetric has tracked 34,545,128 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 87 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 80% 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 306,812 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 76% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them