↓ Skip to main content

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

Overview of attention for article published in BMC Genomics, January 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
11 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Sequence differences at orthologous microsatellites inflate estimates of human-chimpanzee differentiation
Published in
BMC Genomics, January 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.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Researcher 2 18%
Student > Bachelor 1 9%
Student > Master 1 9%
Student > Doctoral Student 1 9%
Other 0 0%
Unknown 3 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 45%
Biochemistry, Genetics and Molecular Biology 1 9%
Business, Management and Accounting 1 9%
Psychology 1 9%
Unknown 3 27%

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
#2,301,704
of 4,527,185 outputs
Outputs from BMC Genomics
#2,576
of 4,162 outputs
Outputs of similar age
#68,091
of 138,355 outputs
Outputs of similar age from BMC Genomics
#220
of 345 outputs
Altmetric has tracked 4,527,185 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,162 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 37th percentile – i.e., 37% 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 138,355 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 345 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.