↓ Skip to main content

“Failures” to be celebrated: an analysis of major pivots of software startups

Overview of attention for article published in Empirical Software Engineering, October 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
8 X users
facebook
1 Facebook page
bluesky
1 Bluesky user

Readers on

mendeley
292 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
“Failures” to be celebrated: an analysis of major pivots of software startups
Published in
Empirical Software Engineering, October 2016
DOI 10.1007/s10664-016-9458-0
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 292 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Italy 1 <1%
Czechia 1 <1%
Unknown 290 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 56 19%
Student > Ph. D. Student 34 12%
Student > Doctoral Student 18 6%
Researcher 13 4%
Student > Bachelor 12 4%
Other 42 14%
Unknown 117 40%
Readers by discipline
Readers by discipline Count As %
Business, Management and Accounting 67 23%
Computer Science 49 17%
Engineering 16 5%
Economics, Econometrics and Finance 9 3%
Social Sciences 7 2%
Other 12 4%
Unknown 132 45%
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 01 October 2021.
All research outputs
#6,978,325
of 27,318,735 outputs
Outputs from Empirical Software Engineering
#154
of 830 outputs
Outputs of similar age
#88,696
of 314,322 outputs
Outputs of similar age from Empirical Software Engineering
#7
of 28 outputs
Altmetric has tracked 27,318,735 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 830 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 81% 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 314,322 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 71% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.