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E-DBCM: A dynamically coupled upland and in-stream water quality model for watershed water quality simulation

Overview of attention for article published in Frontiers in Water, September 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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1 Dimensions

Readers on

mendeley
2 Mendeley
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Title
E-DBCM: A dynamically coupled upland and in-stream water quality model for watershed water quality simulation
Published in
Frontiers in Water, September 2022
DOI 10.3389/frwa.2022.986528
Authors

Yanxia Shen, Zhenduo Zhu, Chunbo Jiang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Medicine and Dentistry 1 50%
Engineering 1 50%
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 06 October 2022.
All research outputs
#19,302,701
of 24,576,899 outputs
Outputs from Frontiers in Water
#307
of 644 outputs
Outputs of similar age
#294,287
of 426,184 outputs
Outputs of similar age from Frontiers in Water
#41
of 73 outputs
Altmetric has tracked 24,576,899 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 644 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 41st percentile – i.e., 41% 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 426,184 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.