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An approach for decomposing river water-quality trends into different flow classes

Overview of attention for article published in Science of the Total Environment, November 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
15 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
30 Mendeley
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Title
An approach for decomposing river water-quality trends into different flow classes
Published in
Science of the Total Environment, November 2020
DOI 10.1016/j.scitotenv.2020.143562
Pubmed ID
Authors

Qian Zhang, James S Webber, Douglas L Moyer, Jeffrey G Chanat

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Student > Ph. D. Student 4 13%
Student > Master 4 13%
Student > Doctoral Student 3 10%
Lecturer 1 3%
Other 0 0%
Unknown 13 43%
Readers by discipline Count As %
Environmental Science 6 20%
Engineering 2 7%
Earth and Planetary Sciences 2 7%
Arts and Humanities 1 3%
Business, Management and Accounting 1 3%
Other 3 10%
Unknown 15 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 17 November 2020.
All research outputs
#4,121,949
of 25,387,668 outputs
Outputs from Science of the Total Environment
#5,259
of 29,642 outputs
Outputs of similar age
#95,858
of 439,576 outputs
Outputs of similar age from Science of the Total Environment
#178
of 781 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,642 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 82% 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 439,576 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 781 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.