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High-throughput single nucleotide polymorphism genotyping using nanofluidic Dynamic Arrays

Overview of attention for article published in BMC Genomics, November 2009
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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 (86th percentile)

Mentioned by

news
2 news outlets

Citations

dimensions_citation
120 Dimensions

Readers on

mendeley
158 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Title
High-throughput single nucleotide polymorphism genotyping using nanofluidic Dynamic Arrays
Published in
BMC Genomics, November 2009
DOI 10.1186/1471-2164-10-561
Pubmed ID
Authors

Jun Wang, Min Lin, Andrew Crenshaw, Amy Hutchinson, Belynda Hicks, Meredith Yeager, Sonja Berndt, Wen-Yi Huang, Richard B Hayes, Stephen J Chanock, Robert C Jones, Ramesh Ramakrishnan

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 3 2%
United States 2 1%
Malaysia 1 <1%
Germany 1 <1%
Sweden 1 <1%
Canada 1 <1%
Japan 1 <1%
Brazil 1 <1%
Unknown 147 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 51 32%
Student > Ph. D. Student 30 19%
Student > Master 15 9%
Professor > Associate Professor 12 8%
Student > Bachelor 9 6%
Other 25 16%
Unknown 16 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 59%
Biochemistry, Genetics and Molecular Biology 24 15%
Medicine and Dentistry 5 3%
Environmental Science 5 3%
Chemistry 3 2%
Other 11 7%
Unknown 16 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 10 March 2021.
All research outputs
#1,711,335
of 18,823,067 outputs
Outputs from BMC Genomics
#542
of 9,637 outputs
Outputs of similar age
#49,025
of 370,499 outputs
Outputs of similar age from BMC Genomics
#1
of 1 outputs
Altmetric has tracked 18,823,067 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,637 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 94% 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 370,499 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 86% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them