↓ Skip to main content

Screening significantly hypermethylated genes in fetal tissues compared with maternal blood using a methylated-CpG island recovery assay-based microarray

Overview of attention for article published in BMC Medical Genomics, June 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
27 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
Screening significantly hypermethylated genes in fetal tissues compared with maternal blood using a methylated-CpG island recovery assay-based microarray
Published in
BMC Medical Genomics, June 2012
DOI 10.1186/1755-8794-5-26
Pubmed ID
Authors

Aihua Yin, Xiangzhong Zhang, Jing Wu, Li Du, Tianwen He, Xiaozhuang Zhang

Abstract

The noninvasive prenatal diagnosis procedures that are currently used to detect genetic diseases do not achieve desirable levels of sensitivity and specificity. Recently, fetal methylated DNA biomarkers in maternal peripheral blood have been explored for the noninvasive prenatal detection of genetic disorders. However, such efforts have covered only chromosomal aneuploidy, and fetal methylated DNA biomarkers in maternal whole blood for detecting single-gene diseases remain to be discovered.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Ph. D. Student 4 15%
Student > Bachelor 3 11%
Student > Master 3 11%
Student > Postgraduate 2 7%
Other 4 15%
Unknown 5 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 52%
Medicine and Dentistry 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Nursing and Health Professions 1 4%
Unspecified 1 4%
Other 1 4%
Unknown 5 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 June 2012.
All research outputs
#9,803,957
of 15,414,857 outputs
Outputs from BMC Medical Genomics
#489
of 802 outputs
Outputs of similar age
#73,769
of 127,062 outputs
Outputs of similar age from BMC Medical Genomics
#5
of 8 outputs
Altmetric has tracked 15,414,857 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 802 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 30th percentile – i.e., 30% 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 127,062 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 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.