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FiloDetect: automatic detection of filopodia from fluorescence microscopy images

Overview of attention for article published in BMC Systems Biology, July 2013
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Citations

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Title
FiloDetect: automatic detection of filopodia from fluorescence microscopy images
Published in
BMC Systems Biology, July 2013
DOI 10.1186/1752-0509-7-66
Pubmed ID
Authors

Sharmin Nilufar, Anne A Morrow, Jonathan M Lee, Theodore J Perkins

Abstract

Filopodia are small cellular projections that help cells to move through and sense their environment. Filopodia play crucial roles in processes such as development and wound-healing. Also, increases in filopodia number or size are characteristic of many invasive cancers and are correlated with increased rates of metastasis in mouse experiments. Thus, one possible route to developing anti-metastatic therapies is to target factors that influence the filopodia system. Filopodia can be detected by eye using confocal fluorescence microscopy, and they can be manually annotated in images to quantify filopodia parameters. Although this approach is accurate, it is slow, tedious and not entirely objective. Manual detection is a significant barrier to the discovery and quantification of new factors that influence the filopodia system.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Hungary 1 1%
Italy 1 1%
Brazil 1 1%
Unknown 68 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 25%
Student > Bachelor 11 15%
Researcher 10 14%
Student > Master 7 10%
Student > Doctoral Student 6 8%
Other 13 18%
Unknown 7 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 24%
Agricultural and Biological Sciences 17 24%
Engineering 6 8%
Neuroscience 5 7%
Medicine and Dentistry 5 7%
Other 10 14%
Unknown 12 17%
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 24 July 2013.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from BMC Systems Biology
#1,004
of 1,132 outputs
Outputs of similar age
#186,352
of 209,216 outputs
Outputs of similar age from BMC Systems Biology
#27
of 29 outputs
Altmetric has tracked 25,371,288 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 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. 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 209,216 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 29 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.