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Implementing Large-Scale Agile Frameworks: Challenges and Recommendations

Overview of attention for article published in IEEE Software, March 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Citations

dimensions_citation
97 Dimensions

Readers on

mendeley
405 Mendeley
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Title
Implementing Large-Scale Agile Frameworks: Challenges and Recommendations
Published in
IEEE Software, March 2019
DOI 10.1109/ms.2018.2884865
Authors

Kieran Conboy, Noel Carroll

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 405 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 405 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 103 25%
Student > Bachelor 51 13%
Student > Postgraduate 29 7%
Student > Ph. D. Student 25 6%
Student > Doctoral Student 13 3%
Other 41 10%
Unknown 143 35%
Readers by discipline Count As %
Computer Science 101 25%
Business, Management and Accounting 95 23%
Engineering 23 6%
Economics, Econometrics and Finance 11 3%
Social Sciences 6 1%
Other 16 4%
Unknown 153 38%
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 24 September 2020.
All research outputs
#7,004,037
of 23,237,082 outputs
Outputs from IEEE Software
#399
of 1,203 outputs
Outputs of similar age
#131,497
of 354,287 outputs
Outputs of similar age from IEEE Software
#4
of 6 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,203 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 66% 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 354,287 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 62% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.