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A comparison of SNPs and microsatellites as linkage mapping markers: lessons from the zebra finch (Taeniopygia guttata)

Overview of attention for article published in BMC Genomics, April 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog

Citations

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72 Dimensions

Readers on

mendeley
185 Mendeley
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2 CiteULike
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Title
A comparison of SNPs and microsatellites as linkage mapping markers: lessons from the zebra finch (Taeniopygia guttata)
Published in
BMC Genomics, April 2010
DOI 10.1186/1471-2164-11-218
Pubmed ID
Authors

Alexander D Ball, Jessica Stapley, Deborah A Dawson, Tim R Birkhead, Terry Burke, Jon Slate

Abstract

Genetic linkage maps are essential tools when searching for quantitative trait loci (QTL). To maximize genome coverage and provide an evenly spaced marker distribution a combination of different types of genetic marker are sometimes used. In this study we created linkage maps of four zebra finch (Taeniopygia guttata) chromosomes (1, 1A, 2 and 9) using two types of marker, Single Nucleotide Polymorphisms (SNPs) and microsatellites. To assess the effectiveness and accuracy of each kind of marker we compared maps built with each marker type separately and with both types of marker combined. Linkage map marker order was validated by making comparisons to the assembled zebra finch genome sequence.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Germany 4 2%
United Kingdom 4 2%
Mexico 2 1%
Spain 2 1%
Brazil 1 <1%
Italy 1 <1%
Netherlands 1 <1%
Switzerland 1 <1%
Other 3 2%
Unknown 161 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 52 28%
Student > Ph. D. Student 41 22%
Student > Master 31 17%
Student > Bachelor 12 6%
Student > Postgraduate 8 4%
Other 25 14%
Unknown 16 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 133 72%
Biochemistry, Genetics and Molecular Biology 18 10%
Environmental Science 5 3%
Medicine and Dentistry 4 2%
Business, Management and Accounting 1 <1%
Other 7 4%
Unknown 17 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 April 2010.
All research outputs
#5,422,157
of 25,371,288 outputs
Outputs from BMC Genomics
#2,142
of 11,244 outputs
Outputs of similar age
#22,399
of 103,521 outputs
Outputs of similar age from BMC Genomics
#11
of 67 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 80% 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 103,521 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 78% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.