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Complexity analysis of cold chain transportation in a vaccine supply chain considering activity inspection and time-delay

Overview of attention for article published in Advances in Continuous and Discrete Models, January 2021
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About this Attention Score

  • Among the highest-scoring outputs from this source (#12 of 189)
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
116 Mendeley
Title
Complexity analysis of cold chain transportation in a vaccine supply chain considering activity inspection and time-delay
Published in
Advances in Continuous and Discrete Models, January 2021
DOI 10.1186/s13662-020-03173-z
Pubmed ID
Authors

Daoming Dai, Xuanyu Wu, Fengshan Si

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 12%
Student > Bachelor 13 11%
Researcher 10 9%
Student > Ph. D. Student 9 8%
Lecturer 5 4%
Other 18 16%
Unknown 47 41%
Readers by discipline Count As %
Engineering 17 15%
Business, Management and Accounting 10 9%
Medicine and Dentistry 9 8%
Biochemistry, Genetics and Molecular Biology 4 3%
Computer Science 4 3%
Other 18 16%
Unknown 54 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 January 2021.
All research outputs
#6,602,824
of 25,387,668 outputs
Outputs from Advances in Continuous and Discrete Models
#12
of 189 outputs
Outputs of similar age
#152,618
of 519,763 outputs
Outputs of similar age from Advances in Continuous and Discrete Models
#3
of 15 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 189 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 91% 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 519,763 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 70% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.