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Mineotaur: a tool for high-content microscopy screen sharing and visual analytics

Overview of attention for article published in Genome Biology, December 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

twitter
16 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

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12 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Mineotaur: a tool for high-content microscopy screen sharing and visual analytics
Published in
Genome Biology, December 2015
DOI 10.1186/s13059-015-0836-5
Pubmed ID
Authors

Bálint Antal, Anatole Chessel, Rafael E. Carazo Salas

Abstract

High-throughput/high-content microscopy-based screens are powerful tools for functional genomics, yielding intracellular information down to the level of single-cells for thousands of genotypic conditions. However, accessing their data requires specialized knowledge and most often that data is no longer analyzed after initial publication. We describe Mineotaur ( http://www.mineotaur.org ), a open-source, downloadable web application that allows easy online sharing and interactive visualisation of large screen datasets, facilitating their dissemination and further analysis, and enhancing their impact.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 25%
Student > Ph. D. Student 5 21%
Professor > Associate Professor 3 13%
Student > Bachelor 2 8%
Student > Master 2 8%
Other 3 13%
Unknown 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 38%
Biochemistry, Genetics and Molecular Biology 3 13%
Computer Science 3 13%
Medicine and Dentistry 3 13%
Engineering 1 4%
Other 0 0%
Unknown 5 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 04 January 2016.
All research outputs
#3,074,358
of 25,374,917 outputs
Outputs from Genome Biology
#2,291
of 4,467 outputs
Outputs of similar age
#46,783
of 380,106 outputs
Outputs of similar age from Genome Biology
#55
of 78 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 48th percentile – i.e., 48% 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 380,106 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.