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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A nomogram for Pvalues
|
|---|---|
| Published in |
BMC Medical Research Methodology, March 2010
|
| DOI | 10.1186/1471-2288-10-21 |
| Pubmed ID | |
| Authors |
Leonhard Held |
| Abstract |
P values are the most commonly used tool to measure evidence against a hypothesis. Several attempts have been made to transform P values to minimum Bayes factors and minimum posterior probabilities of the hypothesis under consideration. However, the acceptance of such calibrations in clinical fields is low due to inexperience in interpreting Bayes factors and the need to specify a prior probability to derive a lower bound on the posterior probability. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 19% |
| Brazil | 2 | 13% |
| United Kingdom | 2 | 13% |
| Canada | 1 | 6% |
| Australia | 1 | 6% |
| Netherlands | 1 | 6% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 50% |
| Members of the public | 7 | 44% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| Switzerland | 2 | 2% |
| Macao | 1 | 1% |
| Brazil | 1 | 1% |
| Germany | 1 | 1% |
| United Kingdom | 1 | 1% |
| India | 1 | 1% |
| Spain | 1 | 1% |
| China | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 78 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 23% |
| Student > Ph. D. Student | 17 | 19% |
| Professor > Associate Professor | 8 | 9% |
| Professor | 8 | 9% |
| Student > Master | 6 | 7% |
| Other | 24 | 26% |
| Unknown | 7 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 31% |
| Agricultural and Biological Sciences | 13 | 14% |
| Psychology | 8 | 9% |
| Mathematics | 5 | 5% |
| Business, Management and Accounting | 4 | 4% |
| Other | 19 | 21% |
| Unknown | 14 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 25 February 2020.
All research outputs
#1,676,011
of 25,144,989 outputs
Outputs from BMC Medical Research Methodology
#205
of 2,243 outputs
Outputs of similar age
#5,708
of 100,373 outputs
Outputs of similar age from BMC Medical Research Methodology
#3
of 12 outputs
Altmetric has tracked 25,144,989 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,243 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done particularly well, scoring higher than 90% 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 100,373 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.