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X Demographics
Mendeley readers
Attention Score in Context
| 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
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Czechia | 1 | 20% |
| Ireland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 410 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 410 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 103 | 25% |
| Student > Bachelor | 51 | 12% |
| Student > Postgraduate | 29 | 7% |
| Student > Ph. D. Student | 25 | 6% |
| Student > Doctoral Student | 13 | 3% |
| Other | 41 | 10% |
| Unknown | 148 | 36% |
| 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 | 158 | 39% |
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
#7,986,997
of 25,732,188 outputs
Outputs from IEEE Software
#405
of 1,254 outputs
Outputs of similar age
#140,774
of 369,160 outputs
Outputs of similar age from IEEE Software
#4
of 8 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,254 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 67% 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 369,160 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 61% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.