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A bi-objective weighted model for improving the discrimination power in MCDEA

Overview of attention for article published in European Journal of Operational Research, March 2014
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1 X user

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71 Mendeley
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Article details
Title
A bi-objective weighted model for improving the discrimination power in MCDEA
Published in
European Journal of Operational Research, March 2014
DOI 10.1016/j.ejor.2013.08.041
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 71 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 71 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 14%
Student > Master 10 14%
Student > Doctoral Student 6 8%
Researcher 6 8%
Professor 5 7%
Other 13 18%
Unknown 21 30%
Readers by discipline
Readers by discipline Count As %
Engineering 13 18%
Business, Management and Accounting 9 13%
Decision Sciences 5 7%
Mathematics 4 6%
Computer Science 3 4%
Other 7 10%
Unknown 30 42%
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 21 November 2013.
All research outputs
#22,689,563
of 27,774,969 outputs
Outputs from European Journal of Operational Research
#2,487
of 3,051 outputs
Outputs of similar age
#181,177
of 240,499 outputs
Outputs of similar age from European Journal of Operational Research
#16
of 28 outputs
Altmetric has tracked 27,774,969 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,051 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 6th percentile – i.e., 6% 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 240,499 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.