Title |
An empirical study of the integration time of fixed issues
|
---|---|
Published in |
Empirical Software Engineering, May 2017
|
DOI | 10.1007/s10664-017-9520-6 |
Authors |
Daniel Alencar da Costa, Shane McIntosh, Uirá Kulesza, Ahmed E. Hassan, Surafel Lemma Abebe |
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% |
New Zealand | 1 | 20% |
Sweden | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 60% |
Members of the public | 1 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 35% |
Student > Ph. D. Student | 5 | 22% |
Professor > Associate Professor | 3 | 13% |
Other | 2 | 9% |
Student > Doctoral Student | 2 | 9% |
Other | 1 | 4% |
Unknown | 2 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 43% |
Engineering | 4 | 17% |
Social Sciences | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Neuroscience | 1 | 4% |
Other | 1 | 4% |
Unknown | 5 | 22% |
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 30 April 2018.
All research outputs
#7,299,930
of 23,025,074 outputs
Outputs from Empirical Software Engineering
#261
of 708 outputs
Outputs of similar age
#115,295
of 310,944 outputs
Outputs of similar age from Empirical Software Engineering
#11
of 24 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 708 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 62% 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 310,944 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 62% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.