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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Review of 2011 for PLoS Computational Biology
|
|---|---|
| Published in |
PLoS Computational Biology, January 2012
|
| DOI | 10.1371/journal.pcbi.1002387 |
| Pubmed ID | |
| Authors |
Rosemary Dickin, Chris James Hall, Laura K. Taylor, Andrew M. Collings, Ruth Nussinov, Philip E. Bourne |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 9% |
| Switzerland | 1 | 9% |
| United States | 1 | 9% |
| Australia | 1 | 9% |
| Portugal | 1 | 9% |
| New Zealand | 1 | 9% |
| United Kingdom | 1 | 9% |
| Germany | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 5 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 12% |
| France | 1 | 4% |
| Portugal | 1 | 4% |
| Mexico | 1 | 4% |
| Australia | 1 | 4% |
| Unknown | 19 | 73% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 42% |
| Student > Ph. D. Student | 7 | 27% |
| Professor > Associate Professor | 3 | 12% |
| Student > Master | 1 | 4% |
| Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 2 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 54% |
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Computer Science | 4 | 15% |
| Medicine and Dentistry | 2 | 8% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 1 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 02 May 2012.
All research outputs
#6,471,552
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#4,366
of 9,043 outputs
Outputs of similar age
#53,005
of 254,139 outputs
Outputs of similar age from PLoS Computational Biology
#39
of 124 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 9,043 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 gotten more attention than average, scoring higher than 51% 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 254,139 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 79% of its contemporaries.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.