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Assessment of whole genome amplification-induced bias through high-throughput, massively parallel whole genome sequencing

Overview of attention for article published in BMC Genomics, August 2006
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

patent
9 patents
wikipedia
4 Wikipedia pages
f1000
1 research highlight platform

Citations

dimensions_citation
269 Dimensions

Readers on

mendeley
443 Mendeley
citeulike
10 CiteULike
connotea
3 Connotea
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Title
Assessment of whole genome amplification-induced bias through high-throughput, massively parallel whole genome sequencing
Published in
BMC Genomics, August 2006
DOI 10.1186/1471-2164-7-216
Pubmed ID
Authors

Robert Pinard, Alex de Winter, Gary J Sarkis, Mark B Gerstein, Karrie R Tartaro, Ramona N Plant, Michael Egholm, Jonathan M Rothberg, John H Leamon

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 443 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
Spain 7 2%
United Kingdom 7 2%
Germany 5 1%
Brazil 4 <1%
Canada 4 <1%
Sweden 3 <1%
France 3 <1%
Denmark 3 <1%
Other 17 4%
Unknown 381 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 144 33%
Student > Ph. D. Student 116 26%
Professor > Associate Professor 32 7%
Student > Master 30 7%
Student > Doctoral Student 19 4%
Other 68 15%
Unknown 34 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 263 59%
Biochemistry, Genetics and Molecular Biology 60 14%
Medicine and Dentistry 27 6%
Computer Science 14 3%
Immunology and Microbiology 7 2%
Other 27 6%
Unknown 45 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 28 February 2024.
All research outputs
#3,029,906
of 23,344,526 outputs
Outputs from BMC Genomics
#1,118
of 10,745 outputs
Outputs of similar age
#6,485
of 67,655 outputs
Outputs of similar age from BMC Genomics
#2
of 24 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,745 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 89% 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 67,655 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 89% of its contemporaries.
We're also able to compare this research output to 24 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 95% of its contemporaries.