| Title |
Parmbsc1: a refined force field for DNA simulations
|
|---|---|
| Published in |
Nature Methods, November 2015
|
| DOI | 10.1038/nmeth.3658 |
| Pubmed ID | |
| Authors |
Ivan Ivani, Pablo D Dans, Agnes Noy, Alberto Pérez, Ignacio Faustino, Adam Hospital, Jürgen Walther, Pau Andrio, Ramon Goñi, Alexandra Balaceanu, Guillem Portella, Federica Battistini, Josep Lluis Gelpí, Carlos González, Michele Vendruscolo, Charles A Laughton, Sarah A Harris, David A Case, Modesto Orozco |
| Abstract |
We present parmbsc1, a force field for DNA atomistic simulation, which has been parameterized from high-level quantum mechanical data and tested for nearly 100 systems (representing a total simulation time of ∼140 μs) covering most of DNA structural space. Parmbsc1 provides high-quality results in diverse systems. Parameters and trajectories are available at http://mmb.irbbarcelona.org/ParmBSC1/. |
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 % |
|---|---|---|
| Spain | 3 | 27% |
| United Kingdom | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 91% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 467 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Italy | 1 | <1% |
| China | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 461 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 133 | 28% |
| Researcher | 80 | 17% |
| Student > Master | 42 | 9% |
| Student > Bachelor | 37 | 8% |
| Student > Doctoral Student | 28 | 6% |
| Other | 51 | 11% |
| Unknown | 96 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 128 | 27% |
| Biochemistry, Genetics and Molecular Biology | 85 | 18% |
| Physics and Astronomy | 40 | 9% |
| Agricultural and Biological Sciences | 39 | 8% |
| Engineering | 13 | 3% |
| Other | 47 | 10% |
| Unknown | 115 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 75. 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 July 2023.
All research outputs
#580,705
of 26,017,215 outputs
Outputs from Nature Methods
#728
of 5,401 outputs
Outputs of similar age
#7,901
of 278,087 outputs
Outputs of similar age from Nature Methods
#9
of 105 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,401 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. This one has done well, scoring higher than 86% 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 278,087 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 96% of its contemporaries.
We're also able to compare this research output to 105 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 91% of its contemporaries.