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FMAj: a tool for high content analysis of muscle dynamics in Drosophila metamorphosis

Overview of attention for article published in BMC Bioinformatics, December 2014
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1 X user

Citations

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24 Mendeley
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Title
FMAj: a tool for high content analysis of muscle dynamics in Drosophila metamorphosis
Published in
BMC Bioinformatics, December 2014
DOI 10.1186/1471-2105-15-s16-s6
Pubmed ID
Authors

Yadav Kuleesha, Wee Choo Puah, Feng Lin, Martin Wasser

Abstract

During metamorphosis in Drosophila melanogaster, larval muscles undergo two different developmental fates; one population is removed by cell death, while the other persistent subset undergoes morphological remodeling and survives to adulthood. Thanks to the ability to perform live imaging of muscle development in transparent pupae and the power of genetics, metamorphosis in Drosophila can be used as a model to study the regulation of skeletal muscle mass. However, time-lapse microscopy generates sizeable image data that require new tools for high throughput image analysis.

X Demographics

X Demographics

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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 25%
Student > Master 4 17%
Student > Bachelor 3 13%
Student > Ph. D. Student 2 8%
Student > Postgraduate 2 8%
Other 4 17%
Unknown 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 33%
Biochemistry, Genetics and Molecular Biology 4 17%
Engineering 3 13%
Computer Science 2 8%
Physics and Astronomy 1 4%
Other 3 13%
Unknown 3 13%
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 19 December 2014.
All research outputs
#14,718,998
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#4,813
of 7,400 outputs
Outputs of similar age
#195,865
of 364,536 outputs
Outputs of similar age from BMC Bioinformatics
#79
of 138 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 30th percentile – i.e., 30% 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 364,536 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.