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Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

Overview of attention for article published in Journal of Systems & Software, January 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

policy
1 policy source
twitter
4 X users

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
317 Mendeley
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Title
Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors
Published in
Journal of Systems & Software, January 2018
DOI 10.1016/j.jss.2017.09.034
Authors

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang, Pekka Abrahamsson

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 317 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 317 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 71 22%
Student > Ph. D. Student 35 11%
Student > Bachelor 26 8%
Student > Doctoral Student 24 8%
Researcher 15 5%
Other 49 15%
Unknown 97 31%
Readers by discipline Count As %
Business, Management and Accounting 71 22%
Computer Science 53 17%
Engineering 35 11%
Social Sciences 12 4%
Economics, Econometrics and Finance 9 3%
Other 25 8%
Unknown 112 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 25 January 2024.
All research outputs
#6,576,179
of 25,385,509 outputs
Outputs from Journal of Systems & Software
#239
of 1,598 outputs
Outputs of similar age
#120,665
of 449,583 outputs
Outputs of similar age from Journal of Systems & Software
#5
of 29 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,598 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 85% of its peers.
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 449,583 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 73% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.