Title |
An empirical study on the impact of static typing on software maintainability
|
---|---|
Published in |
Empirical Software Engineering, December 2013
|
DOI | 10.1007/s10664-013-9289-1 |
Authors |
Stefan Hanenberg, Sebastian Kleinschmager, Romain Robbes, Éric Tanter, Andreas Stefik |
X Demographics
The data shown below were collected from the profiles of 19 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 | 6 | 32% |
Korea, Republic of | 5 | 26% |
Canada | 1 | 5% |
South Africa | 1 | 5% |
Unknown | 6 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 89% |
Scientists | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 65 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 22% |
Student > Master | 12 | 18% |
Student > Bachelor | 8 | 12% |
Researcher | 7 | 11% |
Professor > Associate Professor | 4 | 6% |
Other | 10 | 15% |
Unknown | 10 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 46 | 71% |
Engineering | 7 | 11% |
Psychology | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Unknown | 10 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 September 2022.
All research outputs
#1,718,715
of 24,552,012 outputs
Outputs from Empirical Software Engineering
#26
of 754 outputs
Outputs of similar age
#19,556
of 318,407 outputs
Outputs of similar age from Empirical Software Engineering
#2
of 9 outputs
Altmetric has tracked 24,552,012 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 754 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 318,407 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 93% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.