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Integrated risk averse and possibilistic humanitarian logistic model with social costs and material convergence

Overview of attention for article published in INFOR, January 2023
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1 X user

Readers on

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9 Mendeley
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Title
Integrated risk averse and possibilistic humanitarian logistic model with social costs and material convergence
Published in
INFOR, January 2023
DOI 10.1080/03155986.2023.2168583
Authors

Luis Yáñez Sandivari, Cristián E. Cortés, Pablo A. Rey

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 22%
Unspecified 1 11%
Professor 1 11%
Student > Doctoral Student 1 11%
Unknown 4 44%
Readers by discipline Count As %
Engineering 2 22%
Unspecified 1 11%
Computer Science 1 11%
Business, Management and Accounting 1 11%
Unknown 4 44%
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 03 February 2023.
All research outputs
#20,680,602
of 23,275,636 outputs
Outputs from INFOR
#72
of 109 outputs
Outputs of similar age
#286,990
of 367,739 outputs
Outputs of similar age from INFOR
#1
of 6 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 109 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 1st percentile – i.e., 1% 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 367,739 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 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