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X Demographics
Mendeley readers
Attention Score in Context
Title |
A blueprint for a multi-disease, multi-domain Bayesian adaptive platform trial incorporating adult and paediatric subgroups: the Staphylococcus aureus Network Adaptive Platform trial
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Published in |
Trials, December 2023
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DOI | 10.1186/s13063-023-07718-x |
Pubmed ID | |
Authors |
Robert K. Mahar, Anna McGlothlin, Michael Dymock, Todd C. Lee, Roger J. Lewis, Thomas Lumley, Jocelyn Mora, David J. Price, Benjamin R. Saville, Tom Snelling, Rebecca Turner, Steven A. Webb, Joshua S. Davis, Steven Y. C. Tong, Julie A. Marsh, Asha Bowen, Matthew Cheng, Nick Daneman, Joshua Davis, Anna Goodman, George Heriot, Todd C. Lee, Roger Lewis, David Lye, Julie Marsh, Anna McGlothlin, Zoe McQuilten, Jocelyn Mora, Susan Morpeth, David Paterson, David Price, Jason Roberts, Owen Robinson, Matthew Scarborough, Steven Tong, Sebastiaan van Hal, Genevieve Walls, Steve Webb, Lynda Whiteway, Dafna Yahav |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 6 | 38% |
India | 1 | 6% |
France | 1 | 6% |
United Kingdom | 1 | 6% |
Canada | 1 | 6% |
Unknown | 6 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 7 | 44% |
Members of the public | 6 | 38% |
Practitioners (doctors, other healthcare professionals) | 3 | 19% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Postgraduate | 2 | 33% |
Student > Bachelor | 1 | 17% |
Unspecified | 1 | 17% |
Unknown | 2 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 1 | 17% |
Computer Science | 1 | 17% |
Neuroscience | 1 | 17% |
Unknown | 3 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 22 December 2023.
All research outputs
#3,823,192
of 25,990,612 outputs
Outputs from Trials
#639
of 1,868 outputs
Outputs of similar age
#58,990
of 372,157 outputs
Outputs of similar age from Trials
#1
of 1 outputs
Altmetric has tracked 25,990,612 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,868 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. 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 372,157 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 84% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them