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A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids

Overview of attention for article published in BMC Bioinformatics, November 2018
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
30 tweeters

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
73 Mendeley
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Title
A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids
Published in
BMC Bioinformatics, November 2018
DOI 10.1186/s12859-018-2433-6
Pubmed ID
Authors

Guilherme S. Pereira, Antonio Augusto F. Garcia, Gabriel R. A. Margarido

Twitter Demographics

The data shown below were collected from the profiles of 30 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 22%
Researcher 16 22%
Student > Master 11 15%
Student > Doctoral Student 5 7%
Professor > Associate Professor 4 5%
Other 8 11%
Unknown 13 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 53%
Biochemistry, Genetics and Molecular Biology 12 16%
Nursing and Health Professions 1 1%
Environmental Science 1 1%
Computer Science 1 1%
Other 4 5%
Unknown 15 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 13 March 2019.
All research outputs
#1,351,478
of 20,585,116 outputs
Outputs from BMC Bioinformatics
#280
of 6,801 outputs
Outputs of similar age
#37,704
of 338,987 outputs
Outputs of similar age from BMC Bioinformatics
#23
of 427 outputs
Altmetric has tracked 20,585,116 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,801 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 95% 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 338,987 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 88% of its contemporaries.
We're also able to compare this research output to 427 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.