↓ Skip to main content

gEMpicker: a highly parallel GPU-accelerated particle picking tool for cryo-electron microscopy

Overview of attention for article published in BMC Structural Biology, January 2013
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
27 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
gEMpicker: a highly parallel GPU-accelerated particle picking tool for cryo-electron microscopy
Published in
BMC Structural Biology, January 2013
DOI 10.1186/1472-6807-13-25
Pubmed ID
Authors

Thai V Hoang, Xavier Cavin, Patrick Schultz, David W Ritchie

Abstract

Picking images of particles in cryo-electron micrographs is an important step in solving the 3D structures of large macromolecular assemblies. However, in order to achieve sub-nanometre resolution it is often necessary to capture and process many thousands or even several millions of 2D particle images. Thus, a computational bottleneck in reaching high resolution is the accurate and automatic picking of particles from raw cryo-electron micrographs.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 4%
Russia 1 4%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 33%
Student > Ph. D. Student 6 22%
Student > Bachelor 3 11%
Student > Master 3 11%
Professor 2 7%
Other 3 11%
Unknown 1 4%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 33%
Agricultural and Biological Sciences 7 26%
Computer Science 6 22%
Chemistry 2 7%
Physics and Astronomy 1 4%
Other 0 0%
Unknown 2 7%

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 October 2013.
All research outputs
#12,875,934
of 14,574,743 outputs
Outputs from BMC Structural Biology
#153
of 183 outputs
Outputs of similar age
#157,241
of 184,590 outputs
Outputs of similar age from BMC Structural Biology
#1
of 1 outputs
Altmetric has tracked 14,574,743 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 183 research outputs from this source. They receive a mean Attention Score of 2.9. 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 184,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them