↓ Skip to main content

Runoff from glacier ice and seasonal snow in High Asia: separating melt water sources in river flow

Overview of attention for article published in Regional Environmental Change, November 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#42 of 1,460)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
policy
1 policy source
twitter
35 X users

Citations

dimensions_citation
130 Dimensions

Readers on

mendeley
158 Mendeley
Title
Runoff from glacier ice and seasonal snow in High Asia: separating melt water sources in river flow
Published in
Regional Environmental Change, November 2018
DOI 10.1007/s10113-018-1429-0
Authors

Richard L. Armstrong, Karl Rittger, Mary J. Brodzik, Adina Racoviteanu, Andrew P. Barrett, Siri-Jodha Singh Khalsa, Bruce Raup, Alice F. Hill, Alia L. Khan, Alana M. Wilson, Rijan Bhakta Kayastha, Florence Fetterer, Betsy Armstrong

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 158 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 22%
Researcher 27 17%
Student > Master 20 13%
Other 7 4%
Student > Doctoral Student 5 3%
Other 13 8%
Unknown 51 32%
Readers by discipline Count As %
Earth and Planetary Sciences 40 25%
Environmental Science 26 16%
Engineering 16 10%
Agricultural and Biological Sciences 6 4%
Unspecified 3 2%
Other 9 6%
Unknown 58 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 53. 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 03 November 2022.
All research outputs
#817,509
of 25,837,817 outputs
Outputs from Regional Environmental Change
#42
of 1,460 outputs
Outputs of similar age
#17,278
of 362,273 outputs
Outputs of similar age from Regional Environmental Change
#1
of 17 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,460 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. 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 362,273 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 17 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 94% of its contemporaries.