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Mendeley readers
Attention Score in Context
| Title |
Conditional Poisson models: a flexible alternative to conditional logistic case cross-over analysis
|
|---|---|
| Published in |
BMC Medical Research Methodology, November 2014
|
| DOI | 10.1186/1471-2288-14-122 |
| Pubmed ID | |
| Authors |
Ben G Armstrong, Antonio Gasparrini, Aurelio Tobias |
| Abstract |
The time stratified case cross-over approach is a popular alternative to conventional time series regression for analysing associations between time series of environmental exposures (air pollution, weather) and counts of health outcomes. These are almost always analyzed using conditional logistic regression on data expanded to case-control (case crossover) format, but this has some limitations. In particular adjusting for overdispersion and auto-correlation in the counts is not possible. It has been established that a Poisson model for counts with stratum indicators gives identical estimates to those from conditional logistic regression and does not have these limitations, but it is little used, probably because of the overheads in estimating many stratum parameters. |
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 % |
|---|---|---|
| Japan | 1 | 17% |
| United States | 1 | 17% |
| Mexico | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
| Scientists | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Denmark | 1 | <1% |
| Unknown | 205 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 45 | 22% |
| Student > Ph. D. Student | 39 | 19% |
| Student > Master | 32 | 15% |
| Other | 12 | 6% |
| Student > Bachelor | 12 | 6% |
| Other | 21 | 10% |
| Unknown | 47 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 50 | 24% |
| Environmental Science | 25 | 12% |
| Social Sciences | 10 | 5% |
| Nursing and Health Professions | 9 | 4% |
| Mathematics | 7 | 3% |
| Other | 47 | 23% |
| Unknown | 60 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 20 January 2022.
All research outputs
#1,502,540
of 23,881,329 outputs
Outputs from BMC Medical Research Methodology
#188
of 2,109 outputs
Outputs of similar age
#21,220
of 367,486 outputs
Outputs of similar age from BMC Medical Research Methodology
#5
of 20 outputs
Altmetric has tracked 23,881,329 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 2,109 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 particularly well, scoring higher than 91% 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 367,486 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 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.