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Kanban in software engineering: A systematic mapping study

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

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
526 Mendeley
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Title
Kanban in software engineering: A systematic mapping study
Published in
Journal of Systems & Software, March 2018
DOI 10.1016/j.jss.2017.11.045
Authors

Muhammad Ovais Ahmad, Denis Dennehy, Kieran Conboy, Markku Oivo

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 526 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 526 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 104 20%
Student > Bachelor 53 10%
Student > Ph. D. Student 39 7%
Student > Postgraduate 29 6%
Researcher 20 4%
Other 71 13%
Unknown 210 40%
Readers by discipline Count As %
Computer Science 143 27%
Engineering 72 14%
Business, Management and Accounting 42 8%
Unspecified 13 2%
Economics, Econometrics and Finance 6 1%
Other 26 5%
Unknown 224 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 December 2017.
All research outputs
#8,478,408
of 25,382,440 outputs
Outputs from Journal of Systems & Software
#391
of 1,598 outputs
Outputs of similar age
#138,252
of 344,853 outputs
Outputs of similar age from Journal of Systems & Software
#13
of 32 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th 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 75% 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 344,853 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 59% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.