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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The marginality principle revisited: Should “higher‐order” terms always be accompanied by “lower‐order” terms in regression analyses?
|
|---|---|
| Published in |
Biometrical Journal, September 2023
|
| DOI | 10.1002/bimj.202300069 |
| Pubmed ID | |
| Authors |
Tim P. Morris, Maarten van Smeden, Tra My Pham |
X Demographics
The data shown below were collected from the profiles of 122 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 | 28 | 23% |
| United Kingdom | 17 | 14% |
| Netherlands | 5 | 4% |
| Mexico | 2 | 2% |
| Canada | 2 | 2% |
| Colombia | 2 | 2% |
| Brazil | 2 | 2% |
| Australia | 2 | 2% |
| India | 2 | 2% |
| Other | 16 | 13% |
| Unknown | 44 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 63 | 52% |
| Scientists | 53 | 43% |
| Science communicators (journalists, bloggers, editors) | 3 | 2% |
| Practitioners (doctors, other healthcare professionals) | 3 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 50% |
| Student > Master | 2 | 20% |
| Lecturer | 1 | 10% |
| Professor > Associate Professor | 1 | 10% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 20% |
| Agricultural and Biological Sciences | 2 | 20% |
| Mathematics | 1 | 10% |
| Nursing and Health Professions | 1 | 10% |
| Decision Sciences | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 2 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 71. 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 09 February 2024.
All research outputs
#614,345
of 25,795,662 outputs
Outputs from Biometrical Journal
#4
of 658 outputs
Outputs of similar age
#11,109
of 358,859 outputs
Outputs of similar age from Biometrical Journal
#1
of 17 outputs
Altmetric has tracked 25,795,662 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 658 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 99% 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 358,859 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 96% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.