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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
United Kingdom | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
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
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.