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X Demographics
Attention Score in Context
Title |
Understanding code smells in Elixir functional language
|
---|---|
Published in |
Empirical Software Engineering, July 2023
|
DOI | 10.1007/s10664-023-10343-6 |
Authors |
Lucas Francisco da Matta Vegi, Marco Tulio Valente |
X Demographics
The data shown below were collected from the profiles of 34 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 7 | 21% |
Sweden | 3 | 9% |
United States | 3 | 9% |
Chile | 1 | 3% |
Hong Kong | 1 | 3% |
Taiwan | 1 | 3% |
Spain | 1 | 3% |
Canada | 1 | 3% |
Netherlands | 1 | 3% |
Other | 2 | 6% |
Unknown | 13 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 29 | 85% |
Scientists | 4 | 12% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 17 July 2023.
All research outputs
#1,283,751
of 24,411,829 outputs
Outputs from Empirical Software Engineering
#19
of 748 outputs
Outputs of similar age
#22,508
of 339,647 outputs
Outputs of similar age from Empirical Software Engineering
#2
of 9 outputs
Altmetric has tracked 24,411,829 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 748 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 339,647 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.