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Attention Score in Context
| Title |
CapsidMaps: Protein–protein interaction pattern discovery platform for the structural analysis of virus capsids using Google Maps
|
|---|---|
| Published in |
Journal of Structural Biology, February 2015
|
| DOI | 10.1016/j.jsb.2015.02.003 |
| Pubmed ID | |
| Authors |
Mauricio Carrillo-Tripp, Daniel Jorge Montiel-García, Charles L. Brooks, Vijay S. Reddy |
| Abstract |
Structural analysis and visualization of protein-protein interactions is a challenging task since it is difficult to appreciate easily the extent of all contacts made by the residues forming the interfaces. In the case of viruses, structural analysis becomes even more demanding because several interfaces coexist and, in most cases, these are formed by hundreds of contacting residues that belong to multiple interacting coat proteins. CapsidMaps is an interactive analysis and visualization tool that is designed to benefit the structural virology community. Developed as an improved extension of the φ-ψ Explorer, here we describe the details of its design and implementation. We present results of analysis of a spherical virus to showcase the features and utility of the new tool. CapsidMaps also facilitates the comparison of quaternary interactions between two spherical virus particles by computing a similarity (S)-score. The tool can also be used to identify residues that are solvent exposed and in the process of locating antigenic epitope regions as well as residues forming the inside surface of the capsid that interact with the nucleic acid genome. CapsidMaps is part of the VIPERdb Science Gateway, and is freely available as a web-based and cross-browser compliant application at http://viperdb.scripps.edu. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 5% |
| Spain | 1 | 5% |
| Unknown | 17 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 26% |
| Student > Ph. D. Student | 4 | 21% |
| Student > Doctoral Student | 2 | 11% |
| Student > Bachelor | 1 | 5% |
| Professor | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 4 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 42% |
| Agricultural and Biological Sciences | 2 | 11% |
| Engineering | 2 | 11% |
| Computer Science | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 21% |
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 22 December 2015.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Journal of Structural Biology
#1,379
of 1,637 outputs
Outputs of similar age
#200,846
of 271,287 outputs
Outputs of similar age from Journal of Structural Biology
#11
of 20 outputs
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So far Altmetric has tracked 1,637 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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