| Title |
Empirical evaluation of the effects of experience on code quality and programmer productivity: an exploratory study
|
|---|---|
| Published in |
Empirical Software Engineering, February 2017
|
| DOI | 10.1007/s10664-016-9471-3 |
| Authors |
Oscar Dieste, Alejandrina M. Aranda, Fernando Uyaguari, Burak Turhan, Ayse Tosun, Davide Fucci, Markku Oivo, Natalia Juristo |
X Demographics
The data shown below were collected from the profiles of 53 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 | 6 | 11% |
| United States | 5 | 9% |
| Spain | 3 | 6% |
| Japan | 2 | 4% |
| Canada | 2 | 4% |
| Netherlands | 2 | 4% |
| Brazil | 2 | 4% |
| Finland | 2 | 4% |
| United Kingdom | 2 | 4% |
| Other | 11 | 21% |
| Unknown | 16 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 37 | 70% |
| Scientists | 15 | 28% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
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 | 12 | 15% |
| Student > Ph. D. Student | 11 | 14% |
| Student > Bachelor | 7 | 9% |
| Professor | 6 | 8% |
| Other | 5 | 6% |
| Other | 14 | 18% |
| Unknown | 24 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 37 | 47% |
| Engineering | 4 | 5% |
| Nursing and Health Professions | 3 | 4% |
| Business, Management and Accounting | 2 | 3% |
| Linguistics | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 28 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 June 2023.
All research outputs
#874,242
of 25,782,229 outputs
Outputs from Empirical Software Engineering
#5
of 795 outputs
Outputs of similar age
#18,758
of 427,622 outputs
Outputs of similar age from Empirical Software Engineering
#1
of 18 outputs
Altmetric has tracked 25,782,229 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 795 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 99% 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 427,622 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 95% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.