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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Data model, dictionaries, and desiderata for biomolecular simulation data indexing and sharing
|
|---|---|
| Published in |
Journal of Cheminformatics, January 2014
|
| DOI | 10.1186/1758-2946-6-4 |
| Pubmed ID | |
| Authors |
Julien C Thibault, Daniel R Roe, Julio C Facelli, Thomas E Cheatham |
| Abstract |
Few environments have been developed or deployed to widely share biomolecular simulation data or to enable collaborative networks to facilitate data exploration and reuse. As the amount and complexity of data generated by these simulations is dramatically increasing and the methods are being more widely applied, the need for new tools to manage and share this data has become obvious. In this paper we present the results of a process aimed at assessing the needs of the community for data representation standards to guide the implementation of future repositories for biomolecular simulations. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 2% |
| Germany | 1 | 2% |
| Norway | 1 | 2% |
| Brazil | 1 | 2% |
| Russia | 1 | 2% |
| Unknown | 37 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 26% |
| Researcher | 7 | 17% |
| Professor > Associate Professor | 4 | 10% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 24% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Chemistry | 6 | 14% |
| Engineering | 5 | 12% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 10 | 24% |
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 07 February 2014.
All research outputs
#18,363,356
of 22,743,667 outputs
Outputs from Journal of Cheminformatics
#794
of 828 outputs
Outputs of similar age
#229,806
of 307,444 outputs
Outputs of similar age from Journal of Cheminformatics
#11
of 12 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 828 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 1st percentile – i.e., 1% 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 307,444 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.