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A combined machine learning algorithms and DEA method for measuring and predicting the efficiency of Chinese manufacturing listed companies

Overview of attention for article published in Journal of Management Science and Engineering, December 2021
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Mentioned by

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3 X users

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191 Mendeley
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Article details
Title
A combined machine learning algorithms and DEA method for measuring and predicting the efficiency of Chinese manufacturing listed companies
Published in
Journal of Management Science and Engineering, December 2021
DOI 10.1016/j.jmse.2020.10.001
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 191 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 9%
Student > Master 13 7%
Student > Bachelor 10 5%
Researcher 10 5%
Student > Doctoral Student 9 5%
Other 27 14%
Unknown 105 55%
Readers by discipline
Readers by discipline Count As %
Engineering 20 10%
Business, Management and Accounting 15 8%
Computer Science 13 7%
Economics, Econometrics and Finance 10 5%
Agricultural and Biological Sciences 6 3%
Other 20 10%
Unknown 107 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 December 2022.
All research outputs
#17,228,573
of 28,248,379 outputs
Outputs from Journal of Management Science and Engineering
#14
of 74 outputs
Outputs of similar age
#256,858
of 534,933 outputs
Outputs of similar age from Journal of Management Science and Engineering
#1
of 2 outputs
Altmetric has tracked 28,248,379 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 74 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 79% 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 534,933 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them