| Title |
An industry experiment on the effects of test-driven development on external quality and productivity
|
|---|---|
| Published in |
Empirical Software Engineering, December 2016
|
| DOI | 10.1007/s10664-016-9490-0 |
| Authors |
Ayse Tosun, Oscar Dieste, Davide Fucci, Sira Vegas, Burak Turhan, Hakan Erdogmus, Adrian Santos, Markku Oivo, Kimmo Toro, Janne Jarvinen, Natalia Juristo |
X Demographics
The data shown below were collected from the profiles of 27 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 4 | 15% |
| Brazil | 3 | 11% |
| Japan | 3 | 11% |
| Netherlands | 2 | 7% |
| Finland | 2 | 7% |
| India | 1 | 4% |
| Canada | 1 | 4% |
| United Kingdom | 1 | 4% |
| United States | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 52% |
| Scientists | 12 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 22% |
| Student > Ph. D. Student | 13 | 13% |
| Student > Bachelor | 10 | 10% |
| Professor | 9 | 9% |
| Other | 5 | 5% |
| Other | 16 | 16% |
| Unknown | 27 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 51 | 50% |
| Engineering | 6 | 6% |
| Unspecified | 2 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Business, Management and Accounting | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 32 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 09 August 2021.
All research outputs
#1,812,585
of 25,058,309 outputs
Outputs from Empirical Software Engineering
#29
of 766 outputs
Outputs of similar age
#36,734
of 432,639 outputs
Outputs of similar age from Empirical Software Engineering
#4
of 29 outputs
Altmetric has tracked 25,058,309 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 766 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 96% 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 432,639 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.