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Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records

Overview of attention for article published in The Lancet, February 2020
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Citations

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2976 Dimensions

Readers on

mendeley
5684 Mendeley
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Title
Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records
Published in
The Lancet, February 2020
DOI 10.1016/s0140-6736(20)30360-3
Pubmed ID
Authors

Huijun Chen, Juanjuan Guo, Chen Wang, Fan Luo, Xuechen Yu, Wei Zhang, Jiafu Li, Dongchi Zhao, Dan Xu, Qing Gong, Jing Liao, Huixia Yang, Wei Hou, Yuanzhen Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 7,912 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 5,684 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5684 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 692 12%
Researcher 535 9%
Student > Master 528 9%
Other 345 6%
Student > Ph. D. Student 344 6%
Other 1225 22%
Unknown 2015 35%
Readers by discipline Count As %
Medicine and Dentistry 1430 25%
Nursing and Health Professions 461 8%
Biochemistry, Genetics and Molecular Biology 250 4%
Agricultural and Biological Sciences 173 3%
Immunology and Microbiology 139 2%
Other 991 17%
Unknown 2240 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3887. 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 13 January 2024.
All research outputs
#1,329
of 25,928,676 outputs
Outputs from The Lancet
#93
of 43,107 outputs
Outputs of similar age
#75
of 483,328 outputs
Outputs of similar age from The Lancet
#14
of 417 outputs
Altmetric has tracked 25,928,676 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 43,107 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.2. This one has done particularly well, scoring higher than 99% 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 483,328 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 99% of its contemporaries.
We're also able to compare this research output to 417 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 96% of its contemporaries.