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Towards improving decision making and estimating the value of decisions in value-based software engineering: the VALUE framework

Overview of attention for article published in Software Quality Journal, March 2017
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Mentioned by

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3 X users

Citations

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23 Dimensions

Readers on

mendeley
95 Mendeley
Title
Towards improving decision making and estimating the value of decisions in value-based software engineering: the VALUE framework
Published in
Software Quality Journal, March 2017
DOI 10.1007/s11219-017-9360-z
Authors

Emilia Mendes, Pilar Rodriguez, Vitor Freitas, Simon Baker, Mohamed Amine Atoui

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 26%
Student > Ph. D. Student 15 16%
Student > Doctoral Student 8 8%
Student > Bachelor 7 7%
Researcher 5 5%
Other 12 13%
Unknown 23 24%
Readers by discipline Count As %
Computer Science 44 46%
Engineering 10 11%
Business, Management and Accounting 6 6%
Decision Sciences 4 4%
Nursing and Health Professions 2 2%
Other 2 2%
Unknown 27 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 September 2017.
All research outputs
#13,194,053
of 22,959,818 outputs
Outputs from Software Quality Journal
#69
of 145 outputs
Outputs of similar age
#165,404
of 333,987 outputs
Outputs of similar age from Software Quality Journal
#1
of 2 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 145 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 51% 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 333,987 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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