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Business models, value capture, and the digital enterprise

Overview of attention for article published in Journal of Organization Design, August 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
290 Mendeley
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Title
Business models, value capture, and the digital enterprise
Published in
Journal of Organization Design, August 2017
DOI 10.1186/s41469-017-0018-x
Authors

David J. Teece, Greg Linden, David J. Teece, Greg Linden

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 290 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 290 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 86 30%
Student > Ph. D. Student 46 16%
Student > Doctoral Student 38 13%
Student > Bachelor 24 8%
Researcher 13 4%
Other 32 11%
Unknown 51 18%
Readers by discipline Count As %
Business, Management and Accounting 160 55%
Computer Science 17 6%
Economics, Econometrics and Finance 17 6%
Engineering 15 5%
Social Sciences 11 4%
Other 11 4%
Unknown 59 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 July 2019.
All research outputs
#7,951,659
of 15,481,906 outputs
Outputs from Journal of Organization Design
#42
of 60 outputs
Outputs of similar age
#106,521
of 273,477 outputs
Outputs of similar age from Journal of Organization Design
#1
of 1 outputs
Altmetric has tracked 15,481,906 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 60 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 28th percentile – i.e., 28% 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 273,477 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them