| Title |
Recurring opinions or productive improvements—what agile teams actually discuss in retrospectives
|
|---|---|
| Published in |
Empirical Software Engineering, November 2016
|
| DOI | 10.1007/s10664-016-9464-2 |
| Authors |
Timo O. A. Lehtinen, Juha Itkonen, Casper Lassenius |
X Demographics
The data shown below were collected from the profiles of 9 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 | 3 | 33% |
| Finland | 2 | 22% |
| Sweden | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Science communicators (journalists, bloggers, editors) | 2 | 22% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 20% |
| Student > Ph. D. Student | 9 | 11% |
| Researcher | 8 | 10% |
| Professor | 7 | 9% |
| Student > Bachelor | 7 | 9% |
| Other | 15 | 19% |
| Unknown | 17 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 42% |
| Business, Management and Accounting | 11 | 14% |
| Engineering | 7 | 9% |
| Psychology | 3 | 4% |
| Social Sciences | 2 | 3% |
| Other | 5 | 6% |
| Unknown | 18 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 19 July 2021.
All research outputs
#4,154,263
of 23,577,761 outputs
Outputs from Empirical Software Engineering
#92
of 720 outputs
Outputs of similar age
#67,045
of 313,517 outputs
Outputs of similar age from Empirical Software Engineering
#5
of 31 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 720 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 87% 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 313,517 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.