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Mendeley readers
Attention Score in Context
Title |
Clinical application of massively parallel sequencing‐based prenatal noninvasive fetal trisomy test for trisomies 21 and 18 in 11 105 pregnancies with mixed risk factors
|
---|---|
Published in |
Prenatal Diagnosis, November 2012
|
DOI | 10.1002/pd.4002 |
Pubmed ID | |
Authors |
Shan Dan, Wei Wang, Jinghui Ren, Yali Li, Hua Hu, Zhengfeng Xu, Tze Kin Lau, Jianhong Xie, Weihua Zhao, Hefeng Huang, Jiansheng Xie, Luming Sun, Xiaohong Zhang, Weipeng Wang, Shixiu Liao, Rong Qiang, Jiangxia Cao, Qiufang Zhang, Yulin Zhou, Haiyan Zhu, Mei Zhong, Yi Guo, Linhua Lin, Zhiying Gao, Hong Yao, Hongyun Zhang, Lijian Zhao, Fuman Jiang, Fang Chen, Hui Jiang, Songgang Li, Yingrui Li, Jun Wang, Jian Wang, Tao Duan, Yue Su, Xiuqing Zhang |
Abstract |
To report the performance of massively parallel sequencing (MPS) based prenatal noninvasive fetal trisomy test based on cell-free DNA sequencing from maternal plasma in a routine clinical setting in China. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
China | 1 | <1% |
Ireland | 1 | <1% |
Vietnam | 1 | <1% |
Unknown | 174 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 31 | 17% |
Student > Master | 21 | 12% |
Student > Ph. D. Student | 20 | 11% |
Other | 16 | 9% |
Student > Postgraduate | 15 | 8% |
Other | 40 | 22% |
Unknown | 36 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 49 | 27% |
Agricultural and Biological Sciences | 48 | 27% |
Biochemistry, Genetics and Molecular Biology | 30 | 17% |
Computer Science | 2 | 1% |
Social Sciences | 2 | 1% |
Other | 11 | 6% |
Unknown | 37 | 21% |
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 10 October 2023.
All research outputs
#1,737,579
of 24,851,605 outputs
Outputs from Prenatal Diagnosis
#67
of 2,316 outputs
Outputs of similar age
#10,998
of 186,879 outputs
Outputs of similar age from Prenatal Diagnosis
#2
of 15 outputs
Altmetric has tracked 24,851,605 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,316 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 186,879 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 94% of its contemporaries.
We're also able to compare this research output to 15 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.