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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
44 tweeters

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
122 Mendeley

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Summary Twitter Dimensions citations
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

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 44 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 122 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 119 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 32%
Researcher 23 19%
Student > Master 14 11%
Student > Bachelor 8 7%
Professor 6 5%
Other 12 10%
Unknown 20 16%
Readers by discipline Count As %
Environmental Science 31 25%
Engineering 28 23%
Earth and Planetary Sciences 22 18%
Agricultural and Biological Sciences 5 4%
Business, Management and Accounting 4 3%
Other 11 9%
Unknown 21 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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
#1,200,036
of 23,373,475 outputs
Outputs from Water Resources Research
#207
of 4,955 outputs
Outputs of similar age
#12,484
of 228,283 outputs
Outputs of similar age from Water Resources Research
#2
of 54 outputs
Altmetric has tracked 23,373,475 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 4,955 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. 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 228,283 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.

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