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A systematic literature review of open source software quality assessment models

Overview of attention for article published in SpringerPlus, November 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

policy
1 policy source
wikipedia
1 Wikipedia page

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
137 Mendeley
Title
A systematic literature review of open source software quality assessment models
Published in
SpringerPlus, November 2016
DOI 10.1186/s40064-016-3612-4
Pubmed ID
Authors

Adewole Adewumi, Sanjay Misra, Nicholas Omoregbe, Broderick Crawford, Ricardo Soto

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 137 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 20%
Student > Bachelor 16 12%
Student > Ph. D. Student 11 8%
Student > Doctoral Student 9 7%
Researcher 7 5%
Other 27 20%
Unknown 39 28%
Readers by discipline Count As %
Computer Science 55 40%
Engineering 17 12%
Medicine and Dentistry 5 4%
Social Sciences 4 3%
Nursing and Health Professions 3 2%
Other 9 7%
Unknown 44 32%
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 27 April 2024.
All research outputs
#5,570,362
of 25,805,386 outputs
Outputs from SpringerPlus
#325
of 1,876 outputs
Outputs of similar age
#83,596
of 320,297 outputs
Outputs of similar age from SpringerPlus
#22
of 113 outputs
Altmetric has tracked 25,805,386 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,876 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. 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 320,297 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 72% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.