↓ Skip to main content

A method for noninvasive detection of fetal large deletions/duplications by low coverage massively parallel sequencing

Overview of attention for article published in Prenatal Diagnosis, May 2013
Altmetric Badge

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)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

policy
1 policy source
patent
41 patents

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
112 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
A method for noninvasive detection of fetal large deletions/duplications by low coverage massively parallel sequencing
Published in
Prenatal Diagnosis, May 2013
DOI 10.1002/pd.4110
Pubmed ID
Authors

Shengpei Chen, Tze Kin Lau, Chunlei Zhang, Chenming Xu, Zhengfeng Xu, Ping Hu, Jian Xu, Hefeng Huang, Ling Pan, Fuman Jiang, Fang Chen, Xiaoyu Pan, Weiwei Xie, Ping Liu, Xuchao Li, Lei Zhang, Songgang Li, Yingrui Li, Xun Xu, Wei Wang, Jun Wang, Hui Jiang, Xiuqing Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Korea, Republic of 1 <1%
Hungary 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Unknown 106 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 24%
Student > Ph. D. Student 16 14%
Student > Master 14 13%
Other 11 10%
Student > Bachelor 10 9%
Other 23 21%
Unknown 11 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 38%
Biochemistry, Genetics and Molecular Biology 24 21%
Medicine and Dentistry 15 13%
Computer Science 5 4%
Nursing and Health Professions 3 3%
Other 9 8%
Unknown 13 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 12 March 2024.
All research outputs
#1,722,956
of 25,323,244 outputs
Outputs from Prenatal Diagnosis
#68
of 2,388 outputs
Outputs of similar age
#13,778
of 202,146 outputs
Outputs of similar age from Prenatal Diagnosis
#6
of 37 outputs
Altmetric has tracked 25,323,244 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 97% 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 202,146 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 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.