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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Risk of using logistic regression to illustrate exposure-response relationship of infectious diseases
|
|---|---|
| Published in |
BMC Infectious Diseases, October 2014
|
| DOI | 10.1186/1471-2334-14-540 |
| Pubmed ID | |
| Authors |
Jinma Ren, Zhen Ning, Carmen S Kirkness, Carl V Asche, Huaping Wang |
| Abstract |
In most biological experiments, especially infectious disease, the exposure-response relationship is interrelated by a multitude of factors rather than many independent factors. Little is known about the suitability of ordinary, categorical exposures, and logarithmic transformation which have been presented in logistic regression models to assess the likelihood of an infectious disease as a function of a risk or exposure. This study aims to examine and compare the current approaches. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 7% |
| Sri Lanka | 1 | 7% |
| Unknown | 13 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 20% |
| Student > Ph. D. Student | 3 | 20% |
| Researcher | 2 | 13% |
| Unspecified | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 4 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 13% |
| Medicine and Dentistry | 2 | 13% |
| Agricultural and Biological Sciences | 2 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Mathematics | 1 | 7% |
| Other | 3 | 20% |
| Unknown | 4 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 December 2014.
All research outputs
#13,920,619
of 22,765,347 outputs
Outputs from BMC Infectious Diseases
#3,540
of 7,666 outputs
Outputs of similar age
#127,519
of 254,034 outputs
Outputs of similar age from BMC Infectious Diseases
#71
of 171 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,666 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 51% 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 254,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.