Title |
An investigation of misunderstanding code patterns in C open-source software projects
|
---|---|
Published in |
Empirical Software Engineering, November 2018
|
DOI | 10.1007/s10664-018-9666-x |
Authors |
Flávio Medeiros, Gabriel Lima, Guilherme Amaral, Sven Apel, Christian Kästner, Márcio Ribeiro, Rohit Gheyi |
X Demographics
The data shown below were collected from the profiles of 24 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 | 7 | 29% |
Canada | 2 | 8% |
Brazil | 2 | 8% |
Sweden | 1 | 4% |
Netherlands | 1 | 4% |
Belgium | 1 | 4% |
Unknown | 10 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 15 | 63% |
Scientists | 8 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 2 | 12% |
Student > Ph. D. Student | 2 | 12% |
Researcher | 2 | 12% |
Student > Master | 2 | 12% |
Student > Bachelor | 1 | 6% |
Other | 3 | 18% |
Unknown | 5 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 47% |
Psychology | 1 | 6% |
Engineering | 1 | 6% |
Unknown | 7 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 October 2020.
All research outputs
#2,089,277
of 25,639,676 outputs
Outputs from Empirical Software Engineering
#36
of 792 outputs
Outputs of similar age
#45,892
of 448,335 outputs
Outputs of similar age from Empirical Software Engineering
#2
of 14 outputs
Altmetric has tracked 25,639,676 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 792 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 448,335 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.