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Lessons learned from applying social network analysis on an industrial Free/Libre/Open Source Software ecosystem

Overview of attention for article published in Journal of Internet Services and Applications, July 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 183)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
10 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
182 Mendeley
Title
Lessons learned from applying social network analysis on an industrial Free/Libre/Open Source Software ecosystem
Published in
Journal of Internet Services and Applications, July 2015
DOI 10.1186/s13174-015-0028-2
Authors

Jose Teixeira, Gregorio Robles, Jesús M. González-Barahona

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 2%
Finland 2 1%
Spain 2 1%
Canada 1 <1%
Unknown 174 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 19%
Student > Master 35 19%
Student > Doctoral Student 16 9%
Student > Bachelor 14 8%
Student > Postgraduate 9 5%
Other 34 19%
Unknown 39 21%
Readers by discipline Count As %
Computer Science 74 41%
Business, Management and Accounting 24 13%
Engineering 9 5%
Social Sciences 8 4%
Economics, Econometrics and Finance 4 2%
Other 20 11%
Unknown 43 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 27 November 2020.
All research outputs
#2,304,147
of 26,017,215 outputs
Outputs from Journal of Internet Services and Applications
#7
of 183 outputs
Outputs of similar age
#28,449
of 278,492 outputs
Outputs of similar age from Journal of Internet Services and Applications
#1
of 8 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 183 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 96% 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 278,492 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
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. This one has scored higher than all of them