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Haplotype-assisted accurate noninvasive fetal whole genome recovery through maternal plasma sequencing

Overview of attention for article published in Genome Medicine, February 2013
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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 (93rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

blogs
1 blog
twitter
15 tweeters

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Haplotype-assisted accurate noninvasive fetal whole genome recovery through maternal plasma sequencing
Published in
Genome Medicine, February 2013
DOI 10.1186/gm422
Pubmed ID
Abstract

The applications of massively parallel sequencing technology to fetal cell-free DNA (cff-DNA) have brought new insight to non-invasive prenatal diagnosis. However, most previous research based on maternal plasma sequencing has been restricted to fetal aneuploidies. To detect specific parentally inherited mutations, invasive approaches to obtain fetal DNA are the current standard in the clinic because of the experimental complexity and resource consumption of previously reported non-invasive approaches.

Twitter Demographics

The data shown below were collected from the profiles of 15 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Ireland 1 2%
China 1 2%
United States 1 2%
Belgium 1 2%
Netherlands 1 2%
Unknown 44 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 36%
Student > Ph. D. Student 9 18%
Student > Master 8 16%
Other 6 12%
Student > Postgraduate 3 6%
Other 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 58%
Medicine and Dentistry 11 22%
Biochemistry, Genetics and Molecular Biology 5 10%
Mathematics 1 2%
Unspecified 1 2%
Other 3 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 09 March 2013.
All research outputs
#361,562
of 6,905,455 outputs
Outputs from Genome Medicine
#123
of 638 outputs
Outputs of similar age
#6,814
of 111,877 outputs
Outputs of similar age from Genome Medicine
#9
of 20 outputs
Altmetric has tracked 6,905,455 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.9. 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 111,877 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.