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Detection of fetal trisomy and single gene disease by massively parallel sequencing of extracellular vesicle DNA in maternal plasma: a proof-of-concept validation

Overview of attention for article published in BMC Medical Genomics, November 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
3 X users
patent
1 patent

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
35 Mendeley
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Title
Detection of fetal trisomy and single gene disease by massively parallel sequencing of extracellular vesicle DNA in maternal plasma: a proof-of-concept validation
Published in
BMC Medical Genomics, November 2019
DOI 10.1186/s12920-019-0590-8
Pubmed ID
Authors

Weiting Zhang, Sen Lu, Dandan Pu, Haiping Zhang, Lin Yang, Peng Zeng, Fengxia Su, Zhichao Chen, Mei Guo, Ying Gu, Yanmei Luo, Huamei Hu, Yanping Lu, Fang Chen, Ya Gao

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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 %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 14%
Researcher 4 11%
Student > Master 4 11%
Student > Bachelor 3 9%
Other 3 9%
Other 2 6%
Unknown 14 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 23%
Medicine and Dentistry 3 9%
Agricultural and Biological Sciences 3 9%
Engineering 2 6%
Environmental Science 1 3%
Other 2 6%
Unknown 16 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 November 2023.
All research outputs
#6,349,640
of 25,365,817 outputs
Outputs from BMC Medical Genomics
#275
of 1,393 outputs
Outputs of similar age
#107,310
of 373,003 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 27 outputs
Altmetric has tracked 25,365,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,393 research outputs from this source. They receive a mean Attention Score of 4.6. 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 373,003 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 71% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.