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X Demographics
Mendeley readers
Attention Score in Context
Title |
Antibody levels following vaccination against SARS-CoV-2: associations with post-vaccination infection and risk factors in two UK longitudinal studies
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Published in |
eLife, January 2023
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DOI | 10.7554/elife.80428 |
Pubmed ID | |
Authors |
Nathan J Cheetham, Milla Kibble, Andrew Wong, Richard J Silverwood, Anika Knuppel, Dylan M Williams, Olivia KL Hamilton, Paul H Lee, Charis Bridger Staatz, Giorgio Di Gessa, Jingmin Zhu, Srinivasa Vittal Katikireddi, George B Ploubidis, Ellen J Thompson, Ruth CE Bowyer, Xinyuan Zhang, Golboo Abbasian, Maria Paz Garcia, Deborah Hart, Jeffrey Seow, Carl Graham, Neophytos Kouphou, Sam Acors, Michael H Malim, Ruth E Mitchell, Kate Northstone, Daniel Major-Smith, Sarah Matthews, Thomas Breeze, Michael Crawford, Lynn Molloy, Alex SF Kwong, Katie Doores, Nishi Chaturvedi, Emma L Duncan, Nicholas J Timpson, Claire J Steves |
X Demographics
The data shown below were collected from the profiles of 41 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 12 | 29% |
Germany | 2 | 5% |
United States | 1 | 2% |
Chile | 1 | 2% |
Sweden | 1 | 2% |
South Africa | 1 | 2% |
Finland | 1 | 2% |
Unknown | 22 | 54% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 33 | 80% |
Scientists | 7 | 17% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 46 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 17% |
Student > Master | 5 | 11% |
Student > Ph. D. Student | 4 | 9% |
Professor > Associate Professor | 3 | 7% |
Student > Postgraduate | 2 | 4% |
Other | 6 | 13% |
Unknown | 18 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 20% |
Biochemistry, Genetics and Molecular Biology | 7 | 15% |
Nursing and Health Professions | 5 | 11% |
Mathematics | 2 | 4% |
Agricultural and Biological Sciences | 2 | 4% |
Other | 4 | 9% |
Unknown | 17 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 240. 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 13 March 2024.
All research outputs
#156,831
of 25,476,463 outputs
Outputs from eLife
#336
of 15,659 outputs
Outputs of similar age
#4,128
of 473,276 outputs
Outputs of similar age from eLife
#6
of 453 outputs
Altmetric has tracked 25,476,463 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 15,659 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.1. This one has done particularly well, scoring higher than 97% 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 473,276 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 453 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 98% of its contemporaries.