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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Use of Bayesian decision analysis to maximize value in patient-centered randomized clinical trials in Parkinson’s disease
|
|---|---|
| Published in |
Journal of Biopharmaceutical Statistics, March 2023
|
| DOI | 10.1080/10543406.2023.2170400 |
| Pubmed ID | |
| Authors |
Shomesh E. Chaudhuri, Zied Ben Chaouch, Brett Hauber, Brennan Mange, Mo Zhou, Stephanie Christopher, Dawn Bardot, Margaret Sheehan, Anne Donnelly, Lauren McLaughlin, Brittany Caldwell, Heather L. Benz, Martin Ho, Anindita Saha, Katrina Gwinn, Murray Sheldon, Andrew W. Lo |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 14% |
| Student > Bachelor | 1 | 14% |
| Researcher | 1 | 14% |
| Other | 1 | 14% |
| Unknown | 3 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Arts and Humanities | 1 | 14% |
| Unspecified | 1 | 14% |
| Mathematics | 1 | 14% |
| Business, Management and Accounting | 1 | 14% |
| Unknown | 3 | 43% |
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 07 March 2023.
All research outputs
#13,869,562
of 23,504,445 outputs
Outputs from Journal of Biopharmaceutical Statistics
#131
of 354 outputs
Outputs of similar age
#142,339
of 357,374 outputs
Outputs of similar age from Journal of Biopharmaceutical Statistics
#4
of 9 outputs
Altmetric has tracked 23,504,445 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 354 research outputs from this source. They receive a mean Attention Score of 2.2. This one has gotten more attention than average, scoring higher than 61% 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 357,374 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.