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Dynamics from open innovation to evolutionary change

Overview of attention for article published in Journal of Open Innovation: Technology, Market, and Complexity, June 2016
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Mentioned by

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2 X users

Citations

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208 Dimensions

Readers on

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195 Mendeley
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Title
Dynamics from open innovation to evolutionary change
Published in
Journal of Open Innovation: Technology, Market, and Complexity, June 2016
DOI 10.1186/s40852-016-0033-0
Authors

JinHyo Joseph Yun, DongKyu Won, Kyungbae Park

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Unknown 194 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 14%
Student > Master 27 14%
Student > Bachelor 19 10%
Student > Doctoral Student 16 8%
Researcher 13 7%
Other 32 16%
Unknown 60 31%
Readers by discipline Count As %
Business, Management and Accounting 49 25%
Economics, Econometrics and Finance 21 11%
Social Sciences 15 8%
Engineering 13 7%
Computer Science 9 5%
Other 23 12%
Unknown 65 33%
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 20 August 2019.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from Journal of Open Innovation: Technology, Market, and Complexity
#135
of 299 outputs
Outputs of similar age
#225,301
of 353,659 outputs
Outputs of similar age from Journal of Open Innovation: Technology, Market, and Complexity
#2
of 2 outputs
Altmetric has tracked 25,373,627 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 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 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 353,659 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.