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Integrative structural modeling with small angle X-ray scattering profiles

Overview of attention for article published in BMC Molecular and Cell Biology, July 2012
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Title
Integrative structural modeling with small angle X-ray scattering profiles
Published in
BMC Molecular and Cell Biology, July 2012
DOI 10.1186/1472-6807-12-17
Pubmed ID
Authors

Dina Schneidman-Duhovny, Seung Joong Kim, Andrej Sali

Abstract

Recent technological advances enabled high-throughput collection of Small Angle X-ray Scattering (SAXS) profiles of biological macromolecules. Thus, computational methods for integrating SAXS profiles into structural modeling are needed more than ever. Here, we review specifically the use of SAXS profiles for the structural modeling of proteins, nucleic acids, and their complexes. First, the approaches for computing theoretical SAXS profiles from structures are presented. Second, computational methods for predicting protein structures, dynamics of proteins in solution, and assembly structures are covered. Third, we discuss the use of SAXS profiles in integrative structure modeling approaches that depend simultaneously on several data types.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 1%
France 1 <1%
Korea, Republic of 1 <1%
Turkey 1 <1%
Australia 1 <1%
Germany 1 <1%
Denmark 1 <1%
Italy 1 <1%
Other 0 0%
Unknown 161 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 30%
Researcher 40 23%
Student > Master 21 12%
Professor 12 7%
Professor > Associate Professor 11 6%
Other 25 14%
Unknown 12 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 35%
Biochemistry, Genetics and Molecular Biology 27 16%
Chemistry 27 16%
Physics and Astronomy 15 9%
Engineering 4 2%
Other 15 9%
Unknown 25 14%
Attention Score in Context

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 20 July 2012.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from BMC Molecular and Cell Biology
#896
of 1,233 outputs
Outputs of similar age
#134,650
of 177,875 outputs
Outputs of similar age from BMC Molecular and Cell Biology
#16
of 20 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,233 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 24th percentile – i.e., 24% 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 177,875 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.