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Prenatal diagnosis of fetal aneuploidies: post-genomic developments

Overview of attention for article published in Genome Medicine, August 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 (79th percentile)

Mentioned by

blogs
1 blog

Citations

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35 Mendeley
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Title
Prenatal diagnosis of fetal aneuploidies: post-genomic developments
Published in
Genome Medicine, August 2010
DOI 10.1186/gm171
Pubmed ID
Authors

Sinuhe Hahn, Laird G Jackson, Bernhard G Zimmermann

Abstract

Prenatal diagnosis of fetal aneuploidies and chromosomal anomalies is likely to undergo a profound change in the near future. On the one hand this is mediated by new technical developments, such as chromosomal microarrays, which allow a much more precise delineation of minute sub-microscopic chromosomal aberrancies than the classical G-band karyotype. This will be of particular interest when investigating pregnancies at risk of unexplained development delay, intellectual disability or certain forms of autism. On the other hand, great strides have been made in the non-invasive determination of fetal genetic traits, largely through the analysis of cell-free fetal nucleic acids. It is hoped that, with the assistance of cutting-edge tools such as digital PCR or next generation sequencing, the long elusive goal of non-invasive prenatal diagnosis for fetal aneuploidies can finally be attained.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Korea, Republic of 1 3%
Unknown 32 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 29%
Other 6 17%
Student > Ph. D. Student 6 17%
Student > Master 4 11%
Student > Bachelor 2 6%
Other 3 9%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 31%
Biochemistry, Genetics and Molecular Biology 6 17%
Medicine and Dentistry 6 17%
Psychology 3 9%
Mathematics 1 3%
Other 2 6%
Unknown 6 17%
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 04 March 2013.
All research outputs
#4,653,445
of 22,699,621 outputs
Outputs from Genome Medicine
#890
of 1,434 outputs
Outputs of similar age
#19,313
of 94,346 outputs
Outputs of similar age from Genome Medicine
#1
of 4 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,434 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 35th percentile – i.e., 35% 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 94,346 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 79% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them