You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Tutorial on how to build non-Markovian dynamic models from molecular dynamics simulations for studying protein conformational changes
|
|---|---|
| Published in |
Journal of Chemical Physics, March 2024
|
| DOI | 10.1063/5.0189429 |
| Pubmed ID | |
| Authors |
Yue Wu, Siqin Cao, Yunrui Qiu, Xuhui Huang |
X Demographics
The data shown below were collected from the profiles of 19 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 | 37% |
| Spain | 1 | 5% |
| Japan | 1 | 5% |
| Norway | 1 | 5% |
| Kenya | 1 | 5% |
| Finland | 1 | 5% |
| Germany | 1 | 5% |
| Singapore | 1 | 5% |
| Unknown | 5 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 63% |
| Members of the public | 6 | 32% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 67% |
| Student > Master | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 67% |
| Chemistry | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 04 April 2024.
All research outputs
#3,364,696
of 25,654,566 outputs
Outputs from Journal of Chemical Physics
#837
of 19,941 outputs
Outputs of similar age
#27,633
of 210,965 outputs
Outputs of similar age from Journal of Chemical Physics
#5
of 110 outputs
Altmetric has tracked 25,654,566 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,941 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 95% 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 210,965 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 86% of its contemporaries.
We're also able to compare this research output to 110 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 95% of its contemporaries.