↓ Skip to main content

Identifying occult maternal malignancies from 1.93 million pregnant women undergoing noninvasive prenatal screening tests

Overview of attention for article published in Genetics in Medicine, April 2019
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
12 news outlets
blogs
1 blog
policy
1 policy source
twitter
26 X users
patent
1 patent
facebook
2 Facebook pages

Readers on

mendeley
84 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
Identifying occult maternal malignancies from 1.93 million pregnant women undergoing noninvasive prenatal screening tests
Published in
Genetics in Medicine, April 2019
DOI 10.1038/s41436-019-0510-5
Pubmed ID
Authors

Xing Ji, Jia Li, Yonghua Huang, Pi-Lin Sung, Yuying Yuan, Qiang Liu, Yan Chen, Jia Ju, Yafeng Zhou, Shujia Huang, Fang Chen, Yuan Han, Wen Yuan, Cheng Fan, Qiang Zhao, Haitao Wu, Suihua Feng, Weiqiang Liu, Zhihua Li, Jingsi Chen, Min Chen, Hong Yao, Li Zeng, Tao Ma, Shushu Fan, Jinman Zhang, Ka Yiu Yuen, So Hin Cheng, Irene Wing Shan Chik, Nien-Tzu Liu, Jianyu Zhu, Siyuan Lin, Jeremy Cao, Steve Tong, Zhiyuan Shan, Wenyan Li, Mohammad Reza Hekmat, Masoud Garshasbi, Javier Suela, Yaima Torres, Juan C. Cigudosa, F. J. Pérez Ruiz, Laura Rodríguez, Mónica García, Janez Bernik, Eva Traven, Uršula Reš, Nataša Tul, Ching-Fong Tseng, Depeng Zhao, Luming Sun, Qiong Pan, Li Shen, Mengyao Dai, Yuying Wang, Jian Wang, Huanming Yang, Ye Yin, Tao Duan, Baosheng Zhu, Mahesh Choolani, Xin Jin, Yingwei Chen, Mao Mao

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 13%
Researcher 11 13%
Other 6 7%
Professor 4 5%
Student > Bachelor 4 5%
Other 14 17%
Unknown 34 40%
Readers by discipline Count As %
Medicine and Dentistry 14 17%
Biochemistry, Genetics and Molecular Biology 13 15%
Agricultural and Biological Sciences 4 5%
Engineering 3 4%
Nursing and Health Professions 2 2%
Other 12 14%
Unknown 36 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 120. 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 03 August 2023.
All research outputs
#349,266
of 25,385,509 outputs
Outputs from Genetics in Medicine
#60
of 2,945 outputs
Outputs of similar age
#7,558
of 365,985 outputs
Outputs of similar age from Genetics in Medicine
#3
of 72 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,945 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. 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 365,985 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 97% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.