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Single-Cell RNA-seq Identifies Cell Subsets in Human Placenta That Highly Expresses Factors Driving Pathogenesis of SARS-CoV-2

Overview of attention for article published in Frontiers in Cell and Developmental Biology, August 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 (#37 of 10,610)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
7 news outlets
twitter
65 X users
patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
107 Dimensions

Readers on

mendeley
138 Mendeley
Title
Single-Cell RNA-seq Identifies Cell Subsets in Human Placenta That Highly Expresses Factors Driving Pathogenesis of SARS-CoV-2
Published in
Frontiers in Cell and Developmental Biology, August 2020
DOI 10.3389/fcell.2020.00783
Pubmed ID
Authors

Nancy Ashary, Anshul Bhide, Priyanka Chakraborty, Stacy Colaco, Anuradha Mishra, Karisma Chhabria, Mohit Kumar Jolly, Deepak Modi

X Demographics

X Demographics

The data shown below were collected from the profiles of 65 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 138 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 13%
Student > Bachelor 15 11%
Other 10 7%
Student > Ph. D. Student 10 7%
Student > Doctoral Student 10 7%
Other 21 15%
Unknown 54 39%
Readers by discipline Count As %
Medicine and Dentistry 30 22%
Biochemistry, Genetics and Molecular Biology 17 12%
Nursing and Health Professions 7 5%
Immunology and Microbiology 5 4%
Agricultural and Biological Sciences 4 3%
Other 15 11%
Unknown 60 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 104. 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 06 March 2024.
All research outputs
#420,903
of 26,077,794 outputs
Outputs from Frontiers in Cell and Developmental Biology
#37
of 10,610 outputs
Outputs of similar age
#12,607
of 429,106 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#2
of 470 outputs
Altmetric has tracked 26,077,794 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 10,610 research outputs from this source. They receive a mean Attention Score of 3.8. 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 429,106 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 470 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 99% of its contemporaries.