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Aneuvis: web-based exploration of numerical chromosomal variation in single cells

Overview of attention for article published in BMC Bioinformatics, June 2019
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
7 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Aneuvis: web-based exploration of numerical chromosomal variation in single cells
Published in
BMC Bioinformatics, June 2019
DOI 10.1186/s12859-019-2842-1
Pubmed ID
Authors

Daniel G. Piqué, Grasiella A. Andriani, Elaine Maggi, Samuel E. Zimmerman, John M. Greally, Cristina Montagna, Jessica C. Mar

Twitter Demographics

The data shown below were collected from the profiles of 7 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Researcher 2 18%
Student > Postgraduate 2 18%
Other 1 9%
Unknown 3 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 18%
Medicine and Dentistry 2 18%
Agricultural and Biological Sciences 2 18%
Computer Science 1 9%
Unknown 4 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 02 August 2019.
All research outputs
#1,942,642
of 15,565,939 outputs
Outputs from BMC Bioinformatics
#773
of 5,676 outputs
Outputs of similar age
#50,023
of 266,365 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 28 outputs
Altmetric has tracked 15,565,939 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 5,676 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 86% of its peers.
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 266,365 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 81% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.