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Designing dynamically “signature business model” that support durable competitive advantage

Overview of attention for article published in Journal of Open Innovation: Technology, Market, and Complexity, September 2016
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1 X user

Readers on

mendeley
100 Mendeley
Title
Designing dynamically “signature business model” that support durable competitive advantage
Published in
Journal of Open Innovation: Technology, Market, and Complexity, September 2016
DOI 10.1186/s40852-016-0042-z
Authors

Andrejs Čirjevskis

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

Geographical breakdown

Country Count As %
South Africa 1 1%
Unknown 99 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 16%
Student > Doctoral Student 13 13%
Lecturer 10 10%
Student > Bachelor 6 6%
Student > Ph. D. Student 5 5%
Other 17 17%
Unknown 33 33%
Readers by discipline Count As %
Business, Management and Accounting 35 35%
Economics, Econometrics and Finance 7 7%
Engineering 6 6%
Social Sciences 5 5%
Unspecified 4 4%
Other 9 9%
Unknown 34 34%
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
#20,655,488
of 25,371,288 outputs
Outputs from Journal of Open Innovation: Technology, Market, and Complexity
#210
of 298 outputs
Outputs of similar age
#271,792
of 348,359 outputs
Outputs of similar age from Journal of Open Innovation: Technology, Market, and Complexity
#6
of 10 outputs
Altmetric has tracked 25,371,288 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 298 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 348,359 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.