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X Demographics
Mendeley readers
Attention Score in Context
Title |
Addressing misclassification bias in vaccine effectiveness studies with an application to Covid-19
|
---|---|
Published in |
BMC Medical Research Methodology, February 2023
|
DOI | 10.1186/s12874-023-01853-4 |
Pubmed ID | |
Authors |
Paolo Eusebi, Niko Speybroeck, Sonja Hartnack, Jacob Stærk-Østergaard, Matthew J. Denwood, Polychronis Kostoulas |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Belgium | 2 | 29% |
Italy | 1 | 14% |
Switzerland | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Scientists | 1 | 14% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 21% |
Student > Ph. D. Student | 2 | 14% |
Student > Bachelor | 2 | 14% |
Lecturer > Senior Lecturer | 1 | 7% |
Librarian | 1 | 7% |
Other | 3 | 21% |
Unknown | 2 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 36% |
Veterinary Science and Veterinary Medicine | 2 | 14% |
Mathematics | 1 | 7% |
Unspecified | 1 | 7% |
Nursing and Health Professions | 1 | 7% |
Other | 1 | 7% |
Unknown | 3 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 05 March 2023.
All research outputs
#7,425,875
of 25,918,104 outputs
Outputs from BMC Medical Research Methodology
#1,093
of 2,319 outputs
Outputs of similar age
#129,024
of 425,687 outputs
Outputs of similar age from BMC Medical Research Methodology
#25
of 56 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 52% 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 425,687 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 56 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 55% of its contemporaries.