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Evaluation of Water Resources Utilization Efficiency in Guangdong Province Based on the DEA–Malmquist Model

Overview of attention for article published in Frontiers in Environmental Science, February 2022
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Mentioned by

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2 X users

Citations

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9 Dimensions

Readers on

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9 Mendeley
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Title
Evaluation of Water Resources Utilization Efficiency in Guangdong Province Based on the DEA–Malmquist Model
Published in
Frontiers in Environmental Science, February 2022
DOI 10.3389/fenvs.2022.819693
Authors

Lifen Cheng, Song Song, Yufeng Xie

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 22%
Unspecified 1 11%
Other 1 11%
Lecturer 1 11%
Unknown 4 44%
Readers by discipline Count As %
Unspecified 1 11%
Business, Management and Accounting 1 11%
Agricultural and Biological Sciences 1 11%
Immunology and Microbiology 1 11%
Social Sciences 1 11%
Other 0 0%
Unknown 4 44%
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 March 2022.
All research outputs
#18,741,020
of 23,230,825 outputs
Outputs from Frontiers in Environmental Science
#1,403
of 3,530 outputs
Outputs of similar age
#318,187
of 441,197 outputs
Outputs of similar age from Frontiers in Environmental Science
#110
of 409 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,530 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 42nd percentile – i.e., 42% 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 441,197 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 409 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.