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AirLab: a cloud-based platform to manage and share antibody-based single-cell research

Overview of attention for article published in Genome Biology (Online Edition), June 2016
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Mentioned by

twitter
4 tweeters

Citations

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21 Dimensions

Readers on

mendeley
51 Mendeley
citeulike
1 CiteULike
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Title
AirLab: a cloud-based platform to manage and share antibody-based single-cell research
Published in
Genome Biology (Online Edition), June 2016
DOI 10.1186/s13059-016-1006-0
Pubmed ID
Authors

Raúl Catena, Alaz Özcan, Andrea Jacobs, Stephane Chevrier, Bernd Bodenmiller

Abstract

Single-cell analysis technologies are essential tools in research and clinical diagnostics. These methods include flow cytometry, mass cytometry, and other microfluidics-based technologies. Most laboratories that employ these methods maintain large repositories of antibodies. These ever-growing collections of antibodies, their multiple conjugates, and the large amounts of data generated in assays using specific antibodies and conditions makes a dedicated software solution necessary. We have developed AirLab, a cloud-based tool with web and mobile interfaces, for the organization of these data. AirLab streamlines the processes of antibody purchase, organization, and storage, antibody panel creation, results logging, and antibody validation data sharing and distribution. Furthermore, AirLab enables inventory of other laboratory stocks, such as primers or clinical samples, through user-controlled customization. Thus, AirLab is a mobile-powered and flexible tool that harnesses the capabilities of mobile tools and cloud-based technology to facilitate inventory and sharing of antibody and sample collections and associated validation data.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Switzerland 1 2%
Unknown 49 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 24%
Student > Ph. D. Student 10 20%
Student > Master 8 16%
Student > Bachelor 3 6%
Other 2 4%
Other 6 12%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 27%
Biochemistry, Genetics and Molecular Biology 9 18%
Computer Science 7 14%
Immunology and Microbiology 5 10%
Medicine and Dentistry 2 4%
Other 3 6%
Unknown 11 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 July 2016.
All research outputs
#12,961,619
of 22,880,230 outputs
Outputs from Genome Biology (Online Edition)
#3,546
of 4,125 outputs
Outputs of similar age
#177,330
of 352,012 outputs
Outputs of similar age from Genome Biology (Online Edition)
#54
of 67 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,125 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 13th percentile – i.e., 13% 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 352,012 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.