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Model-based evaluation for online food delivery platforms with the probabilistic double hierarchy linguistic EDAS method

Overview of attention for article published in Journal of the Operational Research Society, February 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Model-based evaluation for online food delivery platforms with the probabilistic double hierarchy linguistic EDAS method
Published in
Journal of the Operational Research Society, February 2023
DOI 10.1080/01605682.2023.2174054
Authors

Thi Minh Hang Nguyen, Van Phuoc Nguyen, Dong Trieu Nguyen

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 14%
Lecturer 2 14%
Professor 1 7%
Unspecified 1 7%
Student > Master 1 7%
Other 0 0%
Unknown 7 50%
Readers by discipline Count As %
Business, Management and Accounting 3 21%
Unspecified 1 7%
Psychology 1 7%
Engineering 1 7%
Unknown 8 57%
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 15 March 2023.
All research outputs
#15,306,056
of 23,539,593 outputs
Outputs from Journal of the Operational Research Society
#522
of 993 outputs
Outputs of similar age
#203,914
of 408,158 outputs
Outputs of similar age from Journal of the Operational Research Society
#3
of 27 outputs
Altmetric has tracked 23,539,593 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 993 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 46th percentile – i.e., 46% 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 408,158 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.