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Estimating causal effects of atherogenic lipid-related traits on COVID-19 susceptibility and severity using a two-sample Mendelian randomization approach

Overview of attention for article published in BMC Medical Genomics, November 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
39 Mendeley
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Title
Estimating causal effects of atherogenic lipid-related traits on COVID-19 susceptibility and severity using a two-sample Mendelian randomization approach
Published in
BMC Medical Genomics, November 2021
DOI 10.1186/s12920-021-01127-2
Pubmed ID
Authors

Masahiro Yoshikawa, Kensuke Asaba, Tomohiro Nakayama

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 15%
Lecturer 3 8%
Student > Doctoral Student 2 5%
Student > Bachelor 2 5%
Student > Postgraduate 2 5%
Other 3 8%
Unknown 21 54%
Readers by discipline Count As %
Medicine and Dentistry 7 18%
Biochemistry, Genetics and Molecular Biology 3 8%
Nursing and Health Professions 1 3%
Environmental Science 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 25 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 November 2021.
All research outputs
#16,081,373
of 25,424,630 outputs
Outputs from BMC Medical Genomics
#1,100
of 2,445 outputs
Outputs of similar age
#227,560
of 435,297 outputs
Outputs of similar age from BMC Medical Genomics
#12
of 35 outputs
Altmetric has tracked 25,424,630 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,445 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 51% 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 435,297 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.