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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Making Biomolecular Simulations Accessible in the Post-Nobel Prize Era
|
|---|---|
| Published in |
PLoS Computational Biology, August 2014
|
| DOI | 10.1371/journal.pcbi.1003786 |
| Pubmed ID | |
| Authors |
Qiang Cui, Ruth Nussinov |
X Demographics
The data shown below were collected from the profiles of 9 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 | 4 | 44% |
| United Kingdom | 1 | 11% |
| France | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 44% |
| Scientists | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 29 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 23% |
| Student > Ph. D. Student | 6 | 19% |
| Professor | 4 | 13% |
| Student > Postgraduate | 3 | 10% |
| Student > Bachelor | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 11 | 35% |
| Agricultural and Biological Sciences | 7 | 23% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Medicine and Dentistry | 2 | 6% |
| Physics and Astronomy | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 3 | 10% |
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 25 February 2017.
All research outputs
#6,381,765
of 25,534,033 outputs
Outputs from PLoS Computational Biology
#4,339
of 8,998 outputs
Outputs of similar age
#56,271
of 244,078 outputs
Outputs of similar age from PLoS Computational Biology
#68
of 159 outputs
Altmetric has tracked 25,534,033 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 8,998 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 244,078 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 76% of its contemporaries.
We're also able to compare this research output to 159 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 57% of its contemporaries.