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Inventory models for perishable items with inventory level dependent demand rate

Overview of attention for article published in Applied Mathematical Modelling, October 2012
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1 X user

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92 Mendeley
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Article details
Title
Inventory models for perishable items with inventory level dependent demand rate
Published in
Applied Mathematical Modelling, October 2012
DOI 10.1016/j.apm.2011.12.039
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 92 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 %
India 1 1%
Unknown 91 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 22 24%
Student > Ph. D. Student 13 14%
Student > Bachelor 9 10%
Professor 7 8%
Researcher 5 5%
Other 13 14%
Unknown 23 25%
Readers by discipline
Readers by discipline Count As %
Engineering 25 27%
Business, Management and Accounting 17 18%
Mathematics 10 11%
Economics, Econometrics and Finance 5 5%
Computer Science 3 3%
Other 6 7%
Unknown 26 28%
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 August 2012.
All research outputs
#19,157,813
of 27,782,313 outputs
Outputs from Applied Mathematical Modelling
#381
of 704 outputs
Outputs of similar age
#134,440
of 197,476 outputs
Outputs of similar age from Applied Mathematical Modelling
#8
of 11 outputs
Altmetric has tracked 27,782,313 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 704 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 31st percentile – i.e., 31% 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 197,476 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.