↓ Skip to main content

ShoRAH: estimating the genetic diversity of a mixed sample from next-generation sequencing data

Overview of attention for article published in BMC Bioinformatics, April 2011
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users
video
1 YouTube creator

Citations

dimensions_citation
247 Dimensions

Readers on

mendeley
352 Mendeley
citeulike
10 CiteULike
connotea
1 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
ShoRAH: estimating the genetic diversity of a mixed sample from next-generation sequencing data
Published in
BMC Bioinformatics, April 2011
DOI 10.1186/1471-2105-12-119
Pubmed ID
Authors

Osvaldo Zagordi, Arnab Bhattacharya, Nicholas Eriksson, Niko Beerenwinkel

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 352 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 4%
United Kingdom 5 1%
Belgium 5 1%
Brazil 5 1%
Netherlands 3 <1%
Sweden 3 <1%
Germany 2 <1%
Spain 2 <1%
Denmark 2 <1%
Other 11 3%
Unknown 301 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 91 26%
Student > Ph. D. Student 79 22%
Student > Master 41 12%
Student > Bachelor 24 7%
Professor > Associate Professor 22 6%
Other 73 21%
Unknown 22 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 188 53%
Computer Science 41 12%
Biochemistry, Genetics and Molecular Biology 39 11%
Medicine and Dentistry 13 4%
Immunology and Microbiology 9 3%
Other 34 10%
Unknown 28 8%
Attention Score in Context

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 04 June 2019.
All research outputs
#15,528,733
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#4,362
of 7,763 outputs
Outputs of similar age
#91,540
of 123,739 outputs
Outputs of similar age from BMC Bioinformatics
#46
of 69 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 41st percentile – i.e., 41% 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 123,739 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.