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SNP calling by sequencing pooled samples

Overview of attention for article published in BMC Bioinformatics, September 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
257 Mendeley
citeulike
3 CiteULike
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Title
SNP calling by sequencing pooled samples
Published in
BMC Bioinformatics, September 2012
DOI 10.1186/1471-2105-13-239
Pubmed ID
Authors

Emanuele Raineri, Luca Ferretti, Anna Esteve-Codina, Bruno Nevado, Simon Heath, Miguel Pérez-Enciso

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Austria 4 2%
United Kingdom 3 1%
Belgium 2 <1%
Brazil 2 <1%
Sweden 2 <1%
Norway 1 <1%
Ireland 1 <1%
Netherlands 1 <1%
Other 7 3%
Unknown 227 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 80 31%
Student > Ph. D. Student 75 29%
Student > Master 24 9%
Other 13 5%
Student > Bachelor 11 4%
Other 30 12%
Unknown 24 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 160 62%
Biochemistry, Genetics and Molecular Biology 28 11%
Computer Science 16 6%
Medicine and Dentistry 7 3%
Engineering 4 2%
Other 12 5%
Unknown 30 12%
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 27 September 2012.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#3,313
of 7,793 outputs
Outputs of similar age
#67,604
of 193,485 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 94 outputs
Altmetric has tracked 26,017,215 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 7,793 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 49th percentile – i.e., 49% 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 193,485 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.