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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Online Machine Learning for Accelerating Molecular Dynamics Modeling of Cells
|
|---|---|
| Published in |
Frontiers in Molecular Biosciences, January 2022
|
| DOI | 10.3389/fmolb.2021.812248 |
| Pubmed ID | |
| Authors |
Ziji Zhang, Peng Zhang, Changnian Han, Guojing Cong, Chih-Chieh Yang, Yuefan Deng |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 33% |
| Unspecified | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Researcher | 1 | 11% |
| Student > Master | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 2 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 2 | 22% |
| Chemical Engineering | 1 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Unspecified | 1 | 11% |
| Computer Science | 1 | 11% |
| Other | 1 | 11% |
| Unknown | 2 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 February 2022.
All research outputs
#17,992,761
of 23,106,934 outputs
Outputs from Frontiers in Molecular Biosciences
#1,719
of 3,917 outputs
Outputs of similar age
#343,734
of 504,470 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#175
of 408 outputs
Altmetric has tracked 23,106,934 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,917 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 504,470 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 408 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.