| Title |
VMD as a Platform for Interactive Small Molecule Preparation and Visualization in Quantum and Classical Simulations
|
|---|---|
| Published in |
Journal of Chemical Information and Modeling, July 2023
|
| DOI | 10.1021/acs.jcim.3c00658 |
| Pubmed ID | |
| Authors |
Mariano Spivak, John E. Stone, João Ribeiro, Jan Saam, Peter L. Freddolino, Rafael C. Bernardi, Emad Tajkhorshid |
X Demographics
The data shown below were collected from the profiles of 71 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 | 7 | 10% |
| Japan | 4 | 6% |
| Mexico | 3 | 4% |
| Sweden | 3 | 4% |
| France | 3 | 4% |
| United Kingdom | 3 | 4% |
| Chile | 3 | 4% |
| Thailand | 3 | 4% |
| Israel | 2 | 3% |
| Other | 11 | 15% |
| Unknown | 29 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 37 | 52% |
| Members of the public | 33 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 24% |
| Unspecified | 3 | 18% |
| Researcher | 3 | 18% |
| Student > Bachelor | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 24% |
| Unspecified | 3 | 18% |
| Chemistry | 2 | 12% |
| Physics and Astronomy | 1 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 4 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 15 September 2023.
All research outputs
#1,051,458
of 25,782,917 outputs
Outputs from Journal of Chemical Information and Modeling
#84
of 5,813 outputs
Outputs of similar age
#19,263
of 363,221 outputs
Outputs of similar age from Journal of Chemical Information and Modeling
#5
of 175 outputs
Altmetric has tracked 25,782,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,813 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 98% 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 363,221 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 94% of its contemporaries.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.