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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimation of the correlation coefficient using the Bayesian Approach and its applications for epidemiologic research
|
|---|---|
| Published in |
BMC Medical Research Methodology, March 2003
|
| DOI | 10.1186/1471-2288-3-5 |
| Pubmed ID | |
| Authors |
Enrique F Schisterman, Kirsten B Moysich, Lucinda J England, Malla Rao |
| Abstract |
The Bayesian approach is one alternative for estimating correlation coefficients in which knowledge from previous studies is incorporated to improve estimation. The purpose of this paper is to illustrate the utility of the Bayesian approach for estimating correlations using prior knowledge. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Cuba | 1 | 2% |
| Germany | 1 | 2% |
| China | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 53 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 27% |
| Researcher | 9 | 15% |
| Student > Doctoral Student | 6 | 10% |
| Student > Master | 4 | 7% |
| Professor | 3 | 5% |
| Other | 12 | 20% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 15% |
| Psychology | 8 | 13% |
| Computer Science | 4 | 7% |
| Physics and Astronomy | 4 | 7% |
| Engineering | 4 | 7% |
| Other | 16 | 27% |
| Unknown | 15 | 25% |
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 23 December 2013.
All research outputs
#15,289,831
of 22,738,543 outputs
Outputs from BMC Medical Research Methodology
#1,504
of 2,005 outputs
Outputs of similar age
#45,498
of 50,370 outputs
Outputs of similar age from BMC Medical Research Methodology
#2
of 3 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,005 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 16th percentile – i.e., 16% 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 50,370 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.