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Design and assessment of stream–wetland systems for nutrient removal in an urban watershed of China

Overview of attention for article published in Water, Air, & Soil Pollution, March 2017
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Mentioned by

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1 Google+ user

Citations

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11 Dimensions

Readers on

mendeley
30 Mendeley
Title
Design and assessment of stream–wetland systems for nutrient removal in an urban watershed of China
Published in
Water, Air, & Soil Pollution, March 2017
DOI 10.1007/s11270-017-3312-x
Authors

Li Han, Timothy O. Randhir, Minsheng Huang

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 %
Student > Ph. D. Student 6 20%
Student > Doctoral Student 4 13%
Professor 3 10%
Student > Bachelor 3 10%
Researcher 2 7%
Other 6 20%
Unknown 6 20%
Readers by discipline Count As %
Environmental Science 12 40%
Engineering 5 17%
Unspecified 1 3%
Agricultural and Biological Sciences 1 3%
Arts and Humanities 1 3%
Other 4 13%
Unknown 6 20%
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 07 July 2017.
All research outputs
#16,223,992
of 23,911,072 outputs
Outputs from Water, Air, & Soil Pollution
#1,188
of 1,990 outputs
Outputs of similar age
#198,728
of 311,116 outputs
Outputs of similar age from Water, Air, & Soil Pollution
#14
of 20 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,990 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 32nd percentile – i.e., 32% 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 311,116 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.