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X Demographics
Mendeley readers
Attention Score in Context
Title |
Mineotaur: a tool for high-content microscopy screen sharing and visual analytics
|
---|---|
Published in |
Genome Biology, December 2015
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 7 | 44% |
Mexico | 2 | 13% |
United States | 1 | 6% |
Spain | 1 | 6% |
Sweden | 1 | 6% |
Unknown | 4 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 63% |
Scientists | 5 | 31% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
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
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.