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Bayesian splines versus fractional polynomials in network meta-analysis

Overview of attention for article published in BMC Medical Research Methodology, October 2020
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Mentioned by

twitter
2 tweeters

Citations

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4 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Bayesian splines versus fractional polynomials in network meta-analysis
Published in
BMC Medical Research Methodology, October 2020
DOI 10.1186/s12874-020-01113-9
Pubmed ID
Authors

Andreas Heinecke, Marta Tallarita, Maria De Iorio

Twitter Demographics

The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Researcher 1 20%
Student > Doctoral Student 1 20%
Unknown 2 40%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 20%
Mathematics 1 20%
Medicine and Dentistry 1 20%
Unknown 2 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 March 2021.
All research outputs
#16,492,998
of 20,513,123 outputs
Outputs from BMC Medical Research Methodology
#1,578
of 1,830 outputs
Outputs of similar age
#238,608
of 321,028 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 20,513,123 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,830 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 6th percentile – i.e., 6% 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 321,028 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
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