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A multidisciplinary framework to derive global river reach classifications at high spatial resolution

Overview of attention for article published in Environmental Research Letters (ERL), January 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

policy
1 policy source
twitter
105 tweeters

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
121 Mendeley
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Title
A multidisciplinary framework to derive global river reach classifications at high spatial resolution
Published in
Environmental Research Letters (ERL), January 2019
DOI 10.1088/1748-9326/aad8e9
Authors

Camille Ouellet Dallaire, Bernhard Lehner, Roger Sayre, Michele Thieme

Twitter Demographics

The data shown below were collected from the profiles of 105 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 26%
Researcher 28 23%
Student > Master 17 14%
Student > Bachelor 6 5%
Professor 6 5%
Other 12 10%
Unknown 21 17%
Readers by discipline Count As %
Environmental Science 39 32%
Earth and Planetary Sciences 25 21%
Agricultural and Biological Sciences 11 9%
Engineering 7 6%
Social Sciences 2 2%
Other 7 6%
Unknown 30 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 73. 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 2020.
All research outputs
#397,811
of 19,486,994 outputs
Outputs from Environmental Research Letters (ERL)
#590
of 4,742 outputs
Outputs of similar age
#10,976
of 357,860 outputs
Outputs of similar age from Environmental Research Letters (ERL)
#1
of 2 outputs
Altmetric has tracked 19,486,994 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,742 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.6. This one has done well, scoring higher than 87% 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 357,860 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 96% of its contemporaries.
We're also able to compare this research output to 2 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