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Sequence differences at orthologous microsatellites inflate estimates of human-chimpanzee differentiation

Overview of attention for article published in BMC Genomics, November 2014
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Title
Sequence differences at orthologous microsatellites inflate estimates of human-chimpanzee differentiation
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-990
Pubmed ID
Authors

Michelle Kwong, Trevor J Pemberton

Abstract

Microsatellites--contiguous arrays of 2-6 base-pair motifs--have formed the cornerstone of population-genetic studies for over two decades. Their genotype data typically takes the form of PCR fragment lengths obtained using locus-specific primer pairs to amplify the genomic region encompassing the microsatellite. Recently, we reported a dataset of 5,795 human and 84 chimpanzee individuals with genotypes at 246 human-derived autosomal microsatellites as a resource to facilitate interspecies comparisons. A major assumption underlying this dataset is that PCR amplicons at orthologous microsatellites are commensurable between species.

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The data shown below were collected from the profiles of 2 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Researcher 2 17%
Student > Bachelor 1 8%
Student > Master 1 8%
Student > Doctoral Student 1 8%
Other 0 0%
Unknown 4 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 42%
Biochemistry, Genetics and Molecular Biology 1 8%
Business, Management and Accounting 1 8%
Psychology 1 8%
Unknown 4 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 November 2014.
All research outputs
#17,235,658
of 25,373,627 outputs
Outputs from BMC Genomics
#7,101
of 11,244 outputs
Outputs of similar age
#226,197
of 369,879 outputs
Outputs of similar age from BMC Genomics
#226
of 362 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 36th percentile – i.e., 36% 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 369,879 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 362 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.