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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Serverification of Molecular Modeling Applications: The Rosetta Online Server That Includes Everyone (ROSIE)
|
|---|---|
| Published in |
PLOS ONE, May 2013
|
| DOI | 10.1371/journal.pone.0063906 |
| Pubmed ID | |
| Authors |
Sergey Lyskov, Fang-Chieh Chou, Shane Ó. Conchúir, Bryan S. Der, Kevin Drew, Daisuke Kuroda, Jianqing Xu, Brian D. Weitzner, P. Douglas Renfrew, Parin Sripakdeevong, Benjamin Borgo, James J. Havranek, Brian Kuhlman, Tanja Kortemme, Richard Bonneau, Jeffrey J. Gray, Rhiju Das |
| Abstract |
The Rosetta molecular modeling software package provides experimentally tested and rapidly evolving tools for the 3D structure prediction and high-resolution design of proteins, nucleic acids, and a growing number of non-natural polymers. Despite its free availability to academic users and improving documentation, use of Rosetta has largely remained confined to developers and their immediate collaborators due to the code's difficulty of use, the requirement for large computational resources, and the unavailability of servers for most of the Rosetta applications. Here, we present a unified web framework for Rosetta applications called ROSIE (Rosetta Online Server that Includes Everyone). ROSIE provides (a) a common user interface for Rosetta protocols, (b) a stable application programming interface for developers to add additional protocols, (c) a flexible back-end to allow leveraging of computer cluster resources shared by RosettaCommons member institutions, and (d) centralized administration by the RosettaCommons to ensure continuous maintenance. This paper describes the ROSIE server infrastructure, a step-by-step 'serverification' protocol for use by Rosetta developers, and the deployment of the first nine ROSIE applications by six separate developer teams: Docking, RNA de novo, ERRASER, Antibody, Sequence Tolerance, Supercharge, Beta peptide design, NCBB design, and VIP redesign. As illustrated by the number and diversity of these applications, ROSIE offers a general and speedy paradigm for serverification of Rosetta applications that incurs negligible cost to developers and lowers barriers to Rosetta use for the broader biological community. ROSIE is available at http://rosie.rosettacommons.org. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| United Kingdom | 1 | 25% |
| Norway | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 362 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 2% |
| United Kingdom | 4 | 1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Germany | 1 | <1% |
| Israel | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 345 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 89 | 25% |
| Researcher | 61 | 17% |
| Student > Master | 44 | 12% |
| Student > Bachelor | 42 | 12% |
| Student > Doctoral Student | 19 | 5% |
| Other | 49 | 14% |
| Unknown | 58 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 99 | 27% |
| Agricultural and Biological Sciences | 82 | 23% |
| Chemistry | 43 | 12% |
| Computer Science | 13 | 4% |
| Engineering | 13 | 4% |
| Other | 43 | 12% |
| Unknown | 69 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 14 June 2022.
All research outputs
#1,528,348
of 24,226,848 outputs
Outputs from PLOS ONE
#19,324
of 208,425 outputs
Outputs of similar age
#12,600
of 198,877 outputs
Outputs of similar age from PLOS ONE
#460
of 4,893 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 208,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done particularly well, scoring higher than 90% 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 198,877 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 93% of its contemporaries.
We're also able to compare this research output to 4,893 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 90% of its contemporaries.