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Mendeley readers
Attention Score in Context
| Title |
Polarizable Water Model for the Coarse-Grained MARTINI Force Field
|
|---|---|
| Published in |
PLoS Computational Biology, June 2010
|
| DOI | 10.1371/journal.pcbi.1000810 |
| Pubmed ID | |
| Authors |
Semen O. Yesylevskyy, Lars V. Schäfer, Durba Sengupta, Siewert J. Marrink |
Mendeley readers
The data shown below were compiled from readership statistics for 712 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 2% |
| Germany | 4 | <1% |
| United Kingdom | 4 | <1% |
| Brazil | 4 | <1% |
| Spain | 3 | <1% |
| Italy | 3 | <1% |
| Czechia | 3 | <1% |
| Canada | 3 | <1% |
| Chile | 2 | <1% |
| Other | 11 | 2% |
| Unknown | 664 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 226 | 32% |
| Researcher | 141 | 20% |
| Student > Master | 77 | 11% |
| Student > Bachelor | 48 | 7% |
| Student > Doctoral Student | 41 | 6% |
| Other | 85 | 12% |
| Unknown | 94 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 158 | 22% |
| Agricultural and Biological Sciences | 106 | 15% |
| Biochemistry, Genetics and Molecular Biology | 92 | 13% |
| Physics and Astronomy | 80 | 11% |
| Engineering | 63 | 9% |
| Other | 105 | 15% |
| Unknown | 108 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 06 February 2024.
All research outputs
#2,673,973
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#2,367
of 9,035 outputs
Outputs of similar age
#9,868
of 109,572 outputs
Outputs of similar age from PLoS Computational Biology
#13
of 55 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,035 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 73% 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 109,572 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 89% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.