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Evaluating the impact of watershed development and climate change on stream ecosystems: A Bayesian network modeling approach

Overview of attention for article published in Water Research, September 2021
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Mentioned by

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1 X user

Citations

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10 Dimensions

Readers on

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19 Mendeley
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Title
Evaluating the impact of watershed development and climate change on stream ecosystems: A Bayesian network modeling approach
Published in
Water Research, September 2021
DOI 10.1016/j.watres.2021.117685
Pubmed ID
Authors

Song S Qian, Jonathan G Kennen, Jason May, Mary C Freeman, Thomas F Cuffney

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Unspecified 2 11%
Lecturer > Senior Lecturer 1 5%
Professor 1 5%
Student > Doctoral Student 1 5%
Other 2 11%
Unknown 9 47%
Readers by discipline Count As %
Environmental Science 3 16%
Unspecified 2 11%
Engineering 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Computer Science 1 5%
Other 1 5%
Unknown 9 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 October 2021.
All research outputs
#22,774,430
of 25,392,582 outputs
Outputs from Water Research
#9,093
of 11,881 outputs
Outputs of similar age
#374,319
of 435,241 outputs
Outputs of similar age from Water Research
#148
of 258 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,881 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 435,241 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 258 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.