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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Data Sharing in the Post-Genomic World: The Experience of the International Cancer Genome Consortium (ICGC) Data Access Compliance Office (DACO)
|
|---|---|
| Published in |
PLoS Computational Biology, July 2012
|
| DOI | 10.1371/journal.pcbi.1002549 |
| Pubmed ID | |
| Authors |
Yann Joly, Edward S. Dove, Bartha M. Knoppers, Martin Bobrow, Don Chalmers |
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 % |
|---|---|---|
| Canada | 2 | 29% |
| United Kingdom | 1 | 14% |
| Sweden | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 43% |
| Members of the public | 3 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 4% |
| Sweden | 2 | 2% |
| United States | 2 | 2% |
| Canada | 2 | 2% |
| Australia | 1 | <1% |
| Iceland | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 99 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 39 | 35% |
| Student > Ph. D. Student | 17 | 15% |
| Student > Master | 17 | 15% |
| Other | 11 | 10% |
| Professor > Associate Professor | 6 | 5% |
| Other | 16 | 14% |
| Unknown | 7 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 33% |
| Biochemistry, Genetics and Molecular Biology | 16 | 14% |
| Social Sciences | 13 | 12% |
| Medicine and Dentistry | 12 | 11% |
| Computer Science | 9 | 8% |
| Other | 14 | 12% |
| Unknown | 12 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 21 March 2015.
All research outputs
#2,255,209
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#2,027
of 8,958 outputs
Outputs of similar age
#13,698
of 177,929 outputs
Outputs of similar age from PLoS Computational Biology
#17
of 114 outputs
Altmetric has tracked 25,371,288 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 8,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 77% 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 177,929 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 92% of its contemporaries.
We're also able to compare this research output to 114 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.