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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Future Vision for PLOS Computational Biology
|
|---|---|
| Published in |
PLoS Computational Biology, October 2012
|
| DOI | 10.1371/journal.pcbi.1002727 |
| Pubmed ID | |
| Authors |
Ruth Nussinov |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 14% |
| United States | 2 | 14% |
| Canada | 2 | 14% |
| United Kingdom | 2 | 14% |
| Luxembourg | 1 | 7% |
| New Zealand | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 3 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 57% |
| Members of the public | 5 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 8% |
| United States | 1 | 8% |
| Norway | 1 | 8% |
| Unknown | 10 | 77% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 38% |
| Student > Ph. D. Student | 4 | 31% |
| Professor | 1 | 8% |
| Other | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 69% |
| Biochemistry, Genetics and Molecular Biology | 2 | 15% |
| Computer Science | 1 | 8% |
| Neuroscience | 1 | 8% |
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 26 October 2012.
All research outputs
#2,284,721
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#2,061
of 8,958 outputs
Outputs of similar age
#15,566
of 191,542 outputs
Outputs of similar age from PLoS Computational Biology
#22
of 115 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 90th 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 76% 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 191,542 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 91% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.