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Using information from network meta-analyses to optimize the power and sample allocation of a subsequent trial with a new treatment

Overview of attention for article published in BMC Medical Research Methodology, November 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Readers on

mendeley
6 Mendeley
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Title
Using information from network meta-analyses to optimize the power and sample allocation of a subsequent trial with a new treatment
Published in
BMC Medical Research Methodology, November 2022
DOI 10.1186/s12874-022-01792-6
Pubmed ID
Authors

Dapeng Hu, Chong Wang, Fangshu Ye, Annette M. O’Connor

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 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 > Ph. D. Student 2 33%
Researcher 2 33%
Librarian 1 17%
Other 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 17%
Mathematics 1 17%
Nursing and Health Professions 1 17%
Agricultural and Biological Sciences 1 17%
Social Sciences 1 17%
Other 1 17%
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 27 July 2023.
All research outputs
#15,212,005
of 24,151,461 outputs
Outputs from BMC Medical Research Methodology
#1,464
of 2,146 outputs
Outputs of similar age
#219,933
of 457,966 outputs
Outputs of similar age from BMC Medical Research Methodology
#33
of 58 outputs
Altmetric has tracked 24,151,461 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 2,146 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 457,966 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.