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Lake level dynamics exploration using deep learning, artificial neural network, and multiple linear regression techniques

Overview of attention for article published in Environmental Earth Sciences, March 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
24 Mendeley
Title
Lake level dynamics exploration using deep learning, artificial neural network, and multiple linear regression techniques
Published in
Environmental Earth Sciences, March 2019
DOI 10.1007/s12665-019-8210-7
Authors

Jinfeng Wen, Peng-Fei Han, Zhangbing Zhou, Xu-Sheng Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 13%
Student > Master 3 13%
Student > Ph. D. Student 3 13%
Lecturer 2 8%
Student > Doctoral Student 2 8%
Other 4 17%
Unknown 7 29%
Readers by discipline Count As %
Engineering 6 25%
Agricultural and Biological Sciences 2 8%
Chemical Engineering 1 4%
Business, Management and Accounting 1 4%
Mathematics 1 4%
Other 5 21%
Unknown 8 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 March 2019.
All research outputs
#7,579,906
of 23,133,982 outputs
Outputs from Environmental Earth Sciences
#159
of 1,787 outputs
Outputs of similar age
#141,984
of 351,866 outputs
Outputs of similar age from Environmental Earth Sciences
#2
of 12 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,787 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done particularly well, scoring higher than 91% 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 351,866 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.