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  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

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11 X users

Readers on

mendeley
53 Mendeley
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Article details
Title
A quantitative approach for analyzing the spatio-temporal distribution of 3D intracellular events in fluorescence microscopy
Published in
eLife, August 2018
DOI 10.7554/elife.32311
Pubmed ID
Authors
Abstract

Analysis of the spatial distribution of endomembrane trafficking is fundamental to understand the mechanisms controlling cellular dynamics, cell homeostasy, and cell interaction with its external environment in normal and pathological situations. We present a semi-parametric framework to quantitatively analyze and visualize the spatio-temporal distribution of intracellular events from different conditions. From the spatial coordinates of intracellular features such as segmented subcellular structures or vesicle trajectories, QuantEv automatically estimates weighted densities that are easy to interpret and performs a comprehensive statistical analysis from distribution distances. We apply this approach to study the spatio-temporal distribution of moving Rab6 fluorescently labeled membranes with respect to their direction of movement in crossbow- and disk-shaped cells. We also investigate the position of the generating hub of Rab11-positive membranes and the effect of actin disruption on Rab11 trafficking in coordination with cell shape.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 8 15%
Student > Master 7 13%
Professor 3 6%
Student > Bachelor 2 4%
Other 6 11%
Unknown 14 26%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 28%
Agricultural and Biological Sciences 12 23%
Physics and Astronomy 2 4%
Engineering 2 4%
Computer Science 1 2%
Other 3 6%
Unknown 18 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 08 September 2018.
All research outputs
#6,135,926
of 23,099,576 outputs
Outputs from eLife
#9,784
of 14,018 outputs
Outputs of similar age
#105,926
of 331,391 outputs
Outputs of similar age from eLife
#259
of 340 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 14,018 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.9. This one is in the 29th percentile – i.e., 29% 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 331,391 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 340 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.