↓ Skip to main content

A novel mixed binary linear DEA model for ranking decision-making units with preference information

Overview of attention for article published in Computers & Industrial Engineering, November 2020
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Readers on

mendeley
18 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
A novel mixed binary linear DEA model for ranking decision-making units with preference information
Published in
Computers & Industrial Engineering, November 2020
DOI 10.1016/j.cie.2020.106720
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor 3 17%
Student > Bachelor 1 6%
Student > Master 1 6%
Researcher 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 11 61%
Readers by discipline
Readers by discipline Count As %
Business, Management and Accounting 2 11%
Mathematics 1 6%
Agricultural and Biological Sciences 1 6%
Social Sciences 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 11 61%
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 30 August 2020.
All research outputs
#18,325,347
of 28,494,563 outputs
Outputs from Computers & Industrial Engineering
#476
of 927 outputs
Outputs of similar age
#257,411
of 448,427 outputs
Outputs of similar age from Computers & Industrial Engineering
#10
of 23 outputs
Altmetric has tracked 28,494,563 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 927 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 47th percentile – i.e., 47% 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 448,427 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.