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Local fractional system for economic order quantity using entropy solution

Overview of attention for article published in Advances in Continuous and Discrete Models, March 2019
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About this Attention Score

  • Among the highest-scoring outputs from this source (#46 of 189)

Mentioned by

peer_reviews
1 peer review site

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Local fractional system for economic order quantity using entropy solution
Published in
Advances in Continuous and Discrete Models, March 2019
DOI 10.1186/s13662-019-2033-4
Authors

Rabha W. Ibrahim, Hossein Jafari, Hamid A. Jalab, Samir B. Hadid

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 18%
Lecturer > Senior Lecturer 2 12%
Student > Bachelor 2 12%
Lecturer 1 6%
Unspecified 1 6%
Other 1 6%
Unknown 7 41%
Readers by discipline Count As %
Mathematics 5 29%
Unspecified 1 6%
Computer Science 1 6%
Agricultural and Biological Sciences 1 6%
Engineering 1 6%
Other 0 0%
Unknown 8 47%
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 13 May 2019.
All research outputs
#17,295,853
of 25,385,509 outputs
Outputs from Advances in Continuous and Discrete Models
#46
of 189 outputs
Outputs of similar age
#235,809
of 366,053 outputs
Outputs of similar age from Advances in Continuous and Discrete Models
#2
of 3 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 189 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 51% 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 366,053 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.