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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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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
31 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

Twitter Demographics

The data shown below were collected from the profiles of 3 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 %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 16%
Student > Ph. D. Student 4 13%
Student > Bachelor 4 13%
Student > Master 4 13%
Other 3 10%
Other 2 6%
Unknown 9 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 26%
Medicine and Dentistry 4 13%
Agricultural and Biological Sciences 3 10%
Engineering 2 6%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 12 39%

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 09 November 2019.
All research outputs
#10,320,288
of 16,170,025 outputs
Outputs from BMC Medical Genomics
#511
of 855 outputs
Outputs of similar age
#198,280
of 331,099 outputs
Outputs of similar age from BMC Medical Genomics
#56
of 110 outputs
Altmetric has tracked 16,170,025 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 855 research outputs from this source. They receive a mean Attention Score of 4.7. 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 331,099 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.