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A hierarchical taxonomy of business model patterns

Overview of attention for article published in Electronic Markets, December 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
160 Mendeley
Title
A hierarchical taxonomy of business model patterns
Published in
Electronic Markets, December 2018
DOI 10.1007/s12525-018-0322-5
Authors

Jörg Weking, Andreas Hein, Markus Böhm, Helmut Krcmar

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

Geographical breakdown

Country Count As %
Unknown 160 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 19%
Student > Master 25 16%
Researcher 12 8%
Student > Bachelor 12 8%
Lecturer 9 6%
Other 24 15%
Unknown 48 30%
Readers by discipline Count As %
Business, Management and Accounting 53 33%
Computer Science 23 14%
Engineering 12 8%
Economics, Econometrics and Finance 6 4%
Social Sciences 3 2%
Other 9 6%
Unknown 54 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 January 2019.
All research outputs
#15,026,406
of 23,117,738 outputs
Outputs from Electronic Markets
#347
of 570 outputs
Outputs of similar age
#250,607
of 437,056 outputs
Outputs of similar age from Electronic Markets
#7
of 8 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 570 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 27th percentile – i.e., 27% 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 437,056 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.