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A review of inverse data envelopment analysis: origins, development and future directions

Overview of attention for article published in IMA Journal of Management Mathematics, April 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)

Mentioned by

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3 X users

Citations

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6 Dimensions

Readers on

mendeley
27 Mendeley
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Title
A review of inverse data envelopment analysis: origins, development and future directions
Published in
IMA Journal of Management Mathematics, April 2023
DOI 10.1093/imaman/dpad006
Authors

Ali Emrouznejad, Gholam R Amin, Mojtaba Ghiyasi, Maria Michali

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 13 48%
Student > Bachelor 1 4%
Researcher 1 4%
Student > Postgraduate 1 4%
Unknown 11 41%
Readers by discipline Count As %
Unspecified 13 48%
Business, Management and Accounting 1 4%
Social Sciences 1 4%
Unknown 12 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 June 2023.
All research outputs
#13,857,772
of 23,917,076 outputs
Outputs from IMA Journal of Management Mathematics
#36
of 84 outputs
Outputs of similar age
#161,888
of 395,418 outputs
Outputs of similar age from IMA Journal of Management Mathematics
#1
of 4 outputs
Altmetric has tracked 23,917,076 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 84 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 57% 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 395,418 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 58% of its contemporaries.
We're also able to compare this research output to 4 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