You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Learning in the Large - An Exploratory Study of Retrospectives in Large-Scale Agile Development
|
|---|---|
| Chapter number | 13 |
| Book title |
Agile Processes in Software Engineering and Extreme Programming
|
| Published in |
arXiv, May 2018
|
| DOI | 10.1007/978-3-319-91602-6_13 |
| Book ISBNs |
978-3-31-991601-9, 978-3-31-991602-6
|
| Authors |
Torgeir Dingsøyr, Marius Mikalsen, Anniken Solem, Kathrine Vestues, Dingsøyr, Torgeir, Mikalsen, Marius, Solem, Anniken, Vestues, Kathrine |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 32% |
| Student > Bachelor | 4 | 13% |
| Researcher | 3 | 10% |
| Student > Postgraduate | 2 | 6% |
| Student > Ph. D. Student | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 8 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 45% |
| Business, Management and Accounting | 2 | 6% |
| Environmental Science | 1 | 3% |
| Economics, Econometrics and Finance | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 9 | 29% |
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 29 May 2018.
All research outputs
#23,391,126
of 26,017,215 outputs
Outputs from arXiv
#687,350
of 938,014 outputs
Outputs of similar age
#305,317
of 346,749 outputs
Outputs of similar age from arXiv
#17,193
of 19,524 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 938,014 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 346,749 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19,524 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.