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Defining responders to therapies by a statistical modeling approach applied to randomized clinical trial data

Overview of attention for article published in BMC Medicine, June 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

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5 X users

Citations

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15 Dimensions

Readers on

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70 Mendeley
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Title
Defining responders to therapies by a statistical modeling approach applied to randomized clinical trial data
Published in
BMC Medicine, June 2019
DOI 10.1186/s12916-019-1345-2
Pubmed ID
Authors

Francesca Bovis, Luca Carmisciano, Alessio Signori, Matteo Pardini, Joshua R. Steinerman, Thomas Li, Aaron P. Tansy, Maria Pia Sormani

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 21%
Researcher 9 13%
Student > Doctoral Student 6 9%
Student > Bachelor 4 6%
Other 4 6%
Other 12 17%
Unknown 20 29%
Readers by discipline Count As %
Medicine and Dentistry 18 26%
Nursing and Health Professions 9 13%
Neuroscience 8 11%
Biochemistry, Genetics and Molecular Biology 4 6%
Immunology and Microbiology 3 4%
Other 6 9%
Unknown 22 31%
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 21 June 2019.
All research outputs
#15,231,278
of 25,463,724 outputs
Outputs from BMC Medicine
#3,256
of 4,025 outputs
Outputs of similar age
#191,202
of 367,720 outputs
Outputs of similar age from BMC Medicine
#55
of 63 outputs
Altmetric has tracked 25,463,724 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,025 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.7. This one is in the 17th percentile – i.e., 17% 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 367,720 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.