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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)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
235 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

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 235 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 75 32%
Student > Bachelor 36 15%
Student > Postgraduate 26 11%
Student > Ph. D. Student 19 8%
Student > Doctoral Student 11 5%
Other 30 13%
Unknown 38 16%
Readers by discipline Count As %
Computer Science 76 32%
Business, Management and Accounting 71 30%
Engineering 16 7%
Economics, Econometrics and Finance 8 3%
Social Sciences 6 3%
Other 10 4%
Unknown 48 20%

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
#5,657,231
of 18,950,555 outputs
Outputs from IEEE Software
#382
of 1,150 outputs
Outputs of similar age
#117,171
of 312,798 outputs
Outputs of similar age from IEEE Software
#4
of 4 outputs
Altmetric has tracked 18,950,555 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 1,150 research outputs from this source. They receive a mean Attention Score of 4.6. 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 312,798 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 4 others from the same source and published within six weeks on either side of this one.