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A threshold artificial neural network model for improving runoff prediction in a karst watershed

Overview of attention for article published in Environmental Earth Sciences, June 2015
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Mentioned by

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1 X user

Citations

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26 Dimensions

Readers on

mendeley
25 Mendeley
Title
A threshold artificial neural network model for improving runoff prediction in a karst watershed
Published in
Environmental Earth Sciences, June 2015
DOI 10.1007/s12665-015-4562-9
Authors

Xianmeng Meng, Maosheng Yin, Libo Ning, Dengfeng Liu, Xianwu Xue

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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Professor > Associate Professor 4 16%
Student > Doctoral Student 2 8%
Lecturer 2 8%
Student > Postgraduate 2 8%
Other 5 20%
Unknown 4 16%
Readers by discipline Count As %
Engineering 8 32%
Environmental Science 2 8%
Earth and Planetary Sciences 2 8%
Computer Science 2 8%
Unspecified 1 4%
Other 2 8%
Unknown 8 32%
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 02 June 2015.
All research outputs
#20,276,249
of 22,808,725 outputs
Outputs from Environmental Earth Sciences
#889
of 1,781 outputs
Outputs of similar age
#223,194
of 267,100 outputs
Outputs of similar age from Environmental Earth Sciences
#36
of 92 outputs
Altmetric has tracked 22,808,725 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 1,781 research outputs from this source. They receive a mean Attention Score of 1.7. 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 267,100 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 92 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.