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The kanban approach, between agility and leanness: a systematic review

Overview of attention for article published in Empirical Software Engineering, December 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

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32 Dimensions

Readers on

mendeley
302 Mendeley
Title
The kanban approach, between agility and leanness: a systematic review
Published in
Empirical Software Engineering, December 2014
DOI 10.1007/s10664-014-9340-x
Authors

Osama Al-Baik, James Miller

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 302 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Norway 1 <1%
Brazil 1 <1%
Sweden 1 <1%
South Africa 1 <1%
Unknown 297 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 84 28%
Student > Bachelor 37 12%
Student > Ph. D. Student 31 10%
Student > Postgraduate 16 5%
Student > Doctoral Student 10 3%
Other 38 13%
Unknown 86 28%
Readers by discipline Count As %
Computer Science 92 30%
Engineering 48 16%
Business, Management and Accounting 43 14%
Social Sciences 6 2%
Economics, Econometrics and Finance 5 2%
Other 19 6%
Unknown 89 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 December 2015.
All research outputs
#17,756,606
of 22,803,211 outputs
Outputs from Empirical Software Engineering
#553
of 705 outputs
Outputs of similar age
#247,723
of 361,328 outputs
Outputs of similar age from Empirical Software Engineering
#4
of 10 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 705 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 361,328 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.