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An empirical study on the impact of static typing on software maintainability

Overview of attention for article published in Empirical Software Engineering, December 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 754)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
19 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
65 Mendeley
citeulike
1 CiteULike
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

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.
Mendeley readers

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

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.