| Title |
Incongruence between test statistics and P values in medical papers
|
|---|---|
| Published in |
BMC Medical Research Methodology, May 2004
|
| DOI | 10.1186/1471-2288-4-13 |
| Pubmed ID | |
| Authors |
Emili García-Berthou, Carles Alcaraz |
| Abstract |
Given an observed test statistic and its degrees of freedom, one may compute the observed P value with most statistical packages. It is unknown to what extent test statistics and P values are congruent in published medical papers. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 33% |
| United Kingdom | 2 | 33% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 262 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 6 | 2% |
| United States | 6 | 2% |
| United Kingdom | 4 | 2% |
| South Africa | 4 | 2% |
| Australia | 3 | 1% |
| France | 2 | <1% |
| Switzerland | 2 | <1% |
| Netherlands | 2 | <1% |
| Spain | 2 | <1% |
| Other | 9 | 3% |
| Unknown | 222 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 59 | 23% |
| Student > Ph. D. Student | 44 | 17% |
| Professor | 29 | 11% |
| Student > Master | 26 | 10% |
| Professor > Associate Professor | 22 | 8% |
| Other | 63 | 24% |
| Unknown | 19 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 24% |
| Medicine and Dentistry | 56 | 21% |
| Environmental Science | 18 | 7% |
| Psychology | 17 | 6% |
| Computer Science | 16 | 6% |
| Other | 64 | 24% |
| Unknown | 29 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 August 2019.
All research outputs
#2,043,953
of 23,636,051 outputs
Outputs from BMC Medical Research Methodology
#295
of 2,091 outputs
Outputs of similar age
#2,792
of 58,550 outputs
Outputs of similar age from BMC Medical Research Methodology
#2
of 6 outputs
Altmetric has tracked 23,636,051 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 2,091 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 58,550 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 95% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.