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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, March 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#43 of 35,927)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Citations

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1472 Dimensions

Readers on

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3857 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, March 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

Twitter Demographics

The data shown below were collected from the profiles of 8,892 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 3,857 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3857 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 481 12%
Researcher 452 12%
Student > Master 404 10%
Other 283 7%
Student > Ph. D. Student 279 7%
Other 983 25%
Unknown 975 25%
Readers by discipline Count As %
Medicine and Dentistry 1165 30%
Nursing and Health Professions 275 7%
Biochemistry, Genetics and Molecular Biology 183 5%
Agricultural and Biological Sciences 146 4%
Immunology and Microbiology 114 3%
Other 809 21%
Unknown 1165 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 4081. 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 01 January 2021.
All research outputs
#482
of 16,638,522 outputs
Outputs from The Lancet
#43
of 35,927 outputs
Outputs of similar age
#49
of 329,709 outputs
Outputs of similar age from The Lancet
#12
of 476 outputs
Altmetric has tracked 16,638,522 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 35,927 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 51.2. 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 329,709 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 476 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 97% of its contemporaries.