↓ Skip to main content

On the design of clone-based haplotyping

Overview of attention for article published in Genome Biology (Online Edition), January 2013
Altmetric Badge

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 (82nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 tweeters
patent
1 patent

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
31 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
On the design of clone-based haplotyping
Published in
Genome Biology (Online Edition), January 2013
DOI 10.1186/gb-2013-14-9-r100
Pubmed ID
Authors

Christine Lo, Rui Liu, Jehyuk Lee, Kimberly Robasky, Susan Byrne, Carolina Lucchesi, John Aach, George Church, Vineet Bafna, Kun Zhang

Abstract

Haplotypes are important for assessing genealogy and disease susceptibility of individual genomes, but are difficult to obtain with routine sequencing approaches. Experimental haplotype reconstruction based on assembling fragments of individual chromosomes is promising, but with variable yields due to incompletely understood parameter choices.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 10%
Unknown 28 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 39%
Student > Ph. D. Student 9 29%
Student > Postgraduate 3 10%
Professor 2 6%
Other 2 6%
Other 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 39%
Biochemistry, Genetics and Molecular Biology 9 29%
Computer Science 4 13%
Unspecified 3 10%
Immunology and Microbiology 1 3%
Other 2 6%

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 31 December 2015.
All research outputs
#1,937,232
of 12,486,858 outputs
Outputs from Genome Biology (Online Edition)
#1,533
of 2,835 outputs
Outputs of similar age
#25,603
of 156,062 outputs
Outputs of similar age from Genome Biology (Online Edition)
#3
of 6 outputs
Altmetric has tracked 12,486,858 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,835 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.9. This one is in the 45th percentile – i.e., 45% 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 156,062 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 82% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.