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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cost-Directed Refactoring for Parallel Erlang Programs
|
|---|---|
| Published in |
International Journal of Parallel Programming, September 2013
|
| DOI | 10.1007/s10766-013-0266-5 |
| Authors |
Christopher Brown, Marco Danelutto, Kevin Hammond, Peter Kilpatrick, Archibald Elliott |
X Demographics
The data shown below were collected from the profiles of 7 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 Kingdom | 2 | 29% |
| United States | 1 | 14% |
| Russia | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 5% |
| Unknown | 21 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 27% |
| Student > Ph. D. Student | 5 | 23% |
| Professor | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 4 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 73% |
| Mathematics | 1 | 5% |
| Chemistry | 1 | 5% |
| Unknown | 4 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 23 July 2019.
All research outputs
#3,235,621
of 22,719,618 outputs
Outputs from International Journal of Parallel Programming
#4
of 170 outputs
Outputs of similar age
#29,551
of 196,897 outputs
Outputs of similar age from International Journal of Parallel Programming
#1
of 4 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 170 research outputs from this source. They receive a mean Attention Score of 3.2. 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 196,897 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 84% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them