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Quantifying the association between ethnicity and COVID-19 mortality: a national cohort study protocol

Overview of attention for article published in BMJ Open, April 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
17 tweeters

Readers on

mendeley
35 Mendeley
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Title
Quantifying the association between ethnicity and COVID-19 mortality: a national cohort study protocol
Published in
BMJ Open, April 2021
DOI 10.1136/bmjopen-2020-045286
Pubmed ID
Authors

Hajira Dambha-Miller, Pui San Tan, Defne Saatci, Ashley Kieran Clift, Francesco Zaccardi, Carol Coupland, Patrick Locufier, Firoza Davies, Kamlesh Khunti, Simon J Griffin, Julia Hippisley-Cox

Twitter Demographics

The data shown below were collected from the profiles of 17 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 17%
Student > Master 5 14%
Student > Bachelor 3 9%
Student > Ph. D. Student 3 9%
Other 2 6%
Other 5 14%
Unknown 11 31%
Readers by discipline Count As %
Medicine and Dentistry 11 31%
Nursing and Health Professions 4 11%
Agricultural and Biological Sciences 3 9%
Biochemistry, Genetics and Molecular Biology 1 3%
Environmental Science 1 3%
Other 4 11%
Unknown 11 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 17 April 2021.
All research outputs
#1,658,605
of 20,832,759 outputs
Outputs from BMJ Open
#3,433
of 19,962 outputs
Outputs of similar age
#42,529
of 330,648 outputs
Outputs of similar age from BMJ Open
#107
of 723 outputs
Altmetric has tracked 20,832,759 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,962 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done well, scoring higher than 82% 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 330,648 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 723 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.