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Suyya’s Flood: Numerical Models of Kashmir’s Medieval Megaflood and Ancient Lake Kerewa Drainage Events

Overview of attention for article published in Earth Science, Systems and Society (ES3), October 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Suyya’s Flood: Numerical Models of Kashmir’s Medieval Megaflood and Ancient Lake Kerewa Drainage Events
Published in
Earth Science, Systems and Society (ES3), October 2021
DOI 10.3389/esss.2021.10040
Authors

Muntaha Urooj, Roger Bilham, Bikram S. Bali, S. Imran Ahmed

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Readers by discipline Count As %
Engineering 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 October 2021.
All research outputs
#8,353,744
of 26,402,896 outputs
Outputs from Earth Science, Systems and Society (ES3)
#25
of 38 outputs
Outputs of similar age
#155,547
of 442,468 outputs
Outputs of similar age from Earth Science, Systems and Society (ES3)
#3
of 3 outputs
Altmetric has tracked 26,402,896 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 38 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one scored the same or higher as 13 of them.
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 442,468 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 64% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.