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Evaluating performance of super-efficiency models in ranking efficient decision-making units based on Monte Carlo simulations

Overview of attention for article published in Annals of Operations Research, July 2021
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1 X user

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24 Mendeley
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Article details
Title
Evaluating performance of super-efficiency models in ranking efficient decision-making units based on Monte Carlo simulations
Published in
Annals of Operations Research, July 2021
DOI 10.1007/s10479-021-04148-3
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 profile of 1 X user 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 24 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 24 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Lecturer > Senior Lecturer 2 8%
Student > Doctoral Student 2 8%
Professor 2 8%
Researcher 2 8%
Lecturer 1 4%
Other 3 13%
Unknown 12 50%
Readers by discipline
Readers by discipline Count As %
Business, Management and Accounting 4 17%
Decision Sciences 2 8%
Social Sciences 2 8%
Mathematics 1 4%
Agricultural and Biological Sciences 1 4%
Other 1 4%
Unknown 13 54%
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 26 July 2021.
All research outputs
#15,686,478
of 23,310,485 outputs
Outputs from Annals of Operations Research
#374
of 743 outputs
Outputs of similar age
#252,879
of 436,461 outputs
Outputs of similar age from Annals of Operations Research
#4
of 16 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 743 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 24th percentile – i.e., 24% 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 436,461 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.