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LipidWrapper: An Algorithm for Generating Large-Scale Membrane Models of Arbitrary Geometry

Overview of attention for article published in PLoS Computational Biology, July 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

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22 X users
googleplus
1 Google+ user

Citations

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61 Dimensions

Readers on

mendeley
110 Mendeley
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2 CiteULike
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Title
LipidWrapper: An Algorithm for Generating Large-Scale Membrane Models of Arbitrary Geometry
Published in
PLoS Computational Biology, July 2014
DOI 10.1371/journal.pcbi.1003720
Pubmed ID
Authors

Jacob D. Durrant, Rommie E. Amaro

Abstract

As ever larger and more complex biological systems are modeled in silico, approximating physiological lipid bilayers with simple planar models becomes increasingly unrealistic. In order to build accurate large-scale models of subcellular environments, models of lipid membranes with carefully considered, biologically relevant curvature will be essential. In the current work, we present a multi-scale utility called LipidWrapper capable of creating curved membrane models with geometries derived from various sources, both experimental and theoretical. To demonstrate its utility, we use LipidWrapper to examine an important mechanism of influenza virulence. A copy of the program can be downloaded free of charge under the terms of the open-source FreeBSD License from http://nbcr.ucsd.edu/lipidwrapper. LipidWrapper has been tested on all major computer operating systems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
United Kingdom 1 <1%
Netherlands 1 <1%
Italy 1 <1%
Unknown 103 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 42 38%
Student > Ph. D. Student 21 19%
Student > Master 10 9%
Student > Bachelor 8 7%
Student > Doctoral Student 6 5%
Other 16 15%
Unknown 7 6%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 28%
Chemistry 25 23%
Agricultural and Biological Sciences 18 16%
Computer Science 5 5%
Physics and Astronomy 5 5%
Other 16 15%
Unknown 10 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 13 March 2023.
All research outputs
#2,987,807
of 25,515,042 outputs
Outputs from PLoS Computational Biology
#2,629
of 8,995 outputs
Outputs of similar age
#27,195
of 227,717 outputs
Outputs of similar age from PLoS Computational Biology
#36
of 161 outputs
Altmetric has tracked 25,515,042 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,995 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 70% 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 227,717 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 88% of its contemporaries.
We're also able to compare this research output to 161 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.