You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Applications of Bayesian shrinkage prior models in clinical research with categorical responses
|
|---|---|
| Published in |
BMC Medical Research Methodology, April 2022
|
| DOI | 10.1186/s12874-022-01560-6 |
| Pubmed ID | |
| Authors |
Arinjita Bhattacharyya, Subhadip Pal, Riten Mitra, Shesh Rai |
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 | 3 | 60% |
| Switzerland | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 19% |
| Student > Ph. D. Student | 2 | 13% |
| Researcher | 2 | 13% |
| Professor | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 19% |
| Medicine and Dentistry | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Social Sciences | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 8 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 September 2022.
All research outputs
#8,586,888
of 25,656,290 outputs
Outputs from BMC Medical Research Methodology
#1,254
of 2,303 outputs
Outputs of similar age
#164,465
of 447,855 outputs
Outputs of similar age from BMC Medical Research Methodology
#32
of 70 outputs
Altmetric has tracked 25,656,290 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 2,303 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 45th percentile – i.e., 45% 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 447,855 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 62% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.