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A nomogram for Pvalues

Overview of attention for article published in BMC Medical Research Methodology, March 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

1 blog
15 tweeters

Readers on

74 Mendeley
4 CiteULike
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A nomogram for Pvalues
Published in
BMC Medical Research Methodology, March 2010
DOI 10.1186/1471-2288-10-21
Pubmed ID

Leonhard Held


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.

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
Switzerland 2 3%
India 1 1%
Brazil 1 1%
Macao 1 1%
United Kingdom 1 1%
China 1 1%
Spain 1 1%
Germany 1 1%
Other 0 0%
Unknown 61 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 26%
Student > Ph. D. Student 15 20%
Professor > Associate Professor 8 11%
Student > Master 6 8%
Professor 6 8%
Other 17 23%
Unknown 3 4%
Readers by discipline Count As %
Medicine and Dentistry 25 34%
Agricultural and Biological Sciences 13 18%
Psychology 7 9%
Mathematics 4 5%
Business, Management and Accounting 3 4%
Other 14 19%
Unknown 8 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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
of 15,115,672 outputs
Outputs from BMC Medical Research Methodology
of 1,407 outputs
Outputs of similar age
of 189,664 outputs
Outputs of similar age from BMC Medical Research Methodology
of 1 outputs
Altmetric has tracked 15,115,672 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,407 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done well, scoring higher than 85% 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 189,664 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 90% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them