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A vulnerability driven approach to identify adverse climate and land use change combinations for critical hydrologic indicator thresholds: Application to a watershed in Pennsylvania, USA

Overview of attention for article published in Water Resources Research, April 2014
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
42 X users

Citations

dimensions_citation
82 Dimensions

Readers on

mendeley
132 Mendeley
Title
A vulnerability driven approach to identify adverse climate and land use change combinations for critical hydrologic indicator thresholds: Application to a watershed in Pennsylvania, USA
Published in
Water Resources Research, April 2014
DOI 10.1002/2013wr014988
Authors

R. Singh, T. Wagener, R. Crane, M. E. Mann, L. Ning

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Sweden 1 <1%
Unknown 129 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 32%
Researcher 25 19%
Student > Master 13 10%
Student > Bachelor 8 6%
Professor 6 5%
Other 13 10%
Unknown 25 19%
Readers by discipline Count As %
Environmental Science 31 23%
Engineering 28 21%
Earth and Planetary Sciences 25 19%
Agricultural and Biological Sciences 5 4%
Business, Management and Accounting 4 3%
Other 11 8%
Unknown 28 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 16 November 2019.
All research outputs
#1,524,294
of 26,374,559 outputs
Outputs from Water Resources Research
#273
of 5,466 outputs
Outputs of similar age
#14,320
of 242,972 outputs
Outputs of similar age from Water Resources Research
#2
of 54 outputs
Altmetric has tracked 26,374,559 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,466 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. 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 242,972 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 54 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 96% of its contemporaries.