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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Assessing Code Authorship: The Case of the Linux Kernel
|
|---|---|
| Chapter number | 15 |
| Book title |
Open Source Systems: Towards Robust Practices
|
| Published in |
arXiv, May 2017
|
| DOI | 10.1007/978-3-319-57735-7_15 |
| Book ISBNs |
978-3-31-957734-0, 978-3-31-957735-7
|
| Authors |
Guilherme Avelino, Leonardo Passos, Andre Hora, Marco Tulio Valente, Avelino, Guilherme, Passos, Leonardo, Hora, Andre, Valente, Marco Tulio |
X Demographics
The data shown below were collected from the profiles of 16 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 | 2 | 13% |
| Canada | 2 | 13% |
| Germany | 1 | 6% |
| Brazil | 1 | 6% |
| Unknown | 10 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 75% |
| Scientists | 4 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 3% |
| Unknown | 32 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 21% |
| Student > Master | 6 | 18% |
| Other | 2 | 6% |
| Professor | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 48% |
| Engineering | 2 | 6% |
| Environmental Science | 2 | 6% |
| Unspecified | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 24 April 2018.
All research outputs
#2,119,987
of 25,476,463 outputs
Outputs from arXiv
#33,033
of 921,891 outputs
Outputs of similar age
#39,101
of 327,567 outputs
Outputs of similar age from arXiv
#722
of 15,347 outputs
Altmetric has tracked 25,476,463 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 921,891 research outputs from this source. They receive a mean Attention Score of 4.3. 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 327,567 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 88% of its contemporaries.
We're also able to compare this research output to 15,347 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.