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A beginners guide to SNP calling from high-throughput DNA-sequencing data

Overview of attention for article published in Human Genetics, August 2012
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
5 X users
patent
3 patents

Citations

dimensions_citation
91 Dimensions

Readers on

mendeley
1125 Mendeley
citeulike
10 CiteULike
Title
A beginners guide to SNP calling from high-throughput DNA-sequencing data
Published in
Human Genetics, August 2012
DOI 10.1007/s00439-012-1213-z
Pubmed ID
Authors

André Altmann, Peter Weber, Daniel Bader, Michael Preuß, Elisabeth B. Binder, Bertram Müller-Myhsok

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 1,125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 29 3%
Germany 13 1%
United Kingdom 7 <1%
France 4 <1%
Spain 4 <1%
Italy 4 <1%
Australia 4 <1%
Netherlands 3 <1%
Brazil 3 <1%
Other 14 1%
Unknown 1040 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 282 25%
Researcher 244 22%
Student > Master 186 17%
Student > Bachelor 69 6%
Student > Doctoral Student 64 6%
Other 174 15%
Unknown 106 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 561 50%
Biochemistry, Genetics and Molecular Biology 214 19%
Medicine and Dentistry 70 6%
Computer Science 52 5%
Immunology and Microbiology 21 2%
Other 75 7%
Unknown 132 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 06 June 2023.
All research outputs
#2,222,661
of 25,837,817 outputs
Outputs from Human Genetics
#174
of 3,002 outputs
Outputs of similar age
#14,048
of 188,143 outputs
Outputs of similar age from Human Genetics
#1
of 19 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,002 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 93% 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 188,143 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 19 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.