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Comparing validity of risk measures on newsvendor models in open innovation perspective

Overview of attention for article published in Journal of Open Innovation: Technology, Market, and Complexity, March 2018
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1 X user

Citations

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51 Mendeley
Title
Comparing validity of risk measures on newsvendor models in open innovation perspective
Published in
Journal of Open Innovation: Technology, Market, and Complexity, March 2018
DOI 10.1186/s40852-017-0078-8
Authors

Sungyong Choi, KyungBae Park, Sang-Oh Shim

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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 20%
Student > Ph. D. Student 10 20%
Student > Doctoral Student 8 16%
Professor 5 10%
Student > Bachelor 2 4%
Other 5 10%
Unknown 11 22%
Readers by discipline Count As %
Engineering 15 29%
Business, Management and Accounting 9 18%
Computer Science 4 8%
Agricultural and Biological Sciences 2 4%
Social Sciences 2 4%
Other 5 10%
Unknown 14 27%
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 09 April 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Journal of Open Innovation: Technology, Market, and Complexity
#210
of 299 outputs
Outputs of similar age
#269,495
of 344,853 outputs
Outputs of similar age from Journal of Open Innovation: Technology, Market, and Complexity
#5
of 14 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 299 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 8th percentile – i.e., 8% 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 344,853 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.