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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Risk estimation using probability machines
|
|---|---|
| Published in |
BioData Mining, March 2014
|
| DOI | 10.1186/1756-0381-7-2 |
| Pubmed ID | |
| Authors |
Abhijit Dasgupta, Silke Szymczak, Jason H Moore, Joan E Bailey-Wilson, James D Malley |
| Abstract |
Logistic regression has been the de facto, and often the only, model used in the description and analysis of relationships between a binary outcome and observed features. It is widely used to obtain the conditional probabilities of the outcome given predictors, as well as predictor effect size estimates using conditional odds ratios. |
X Demographics
The data shown below were collected from the profiles of 20 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 | 4 | 20% |
| United Kingdom | 2 | 10% |
| Chile | 1 | 5% |
| Italy | 1 | 5% |
| Comoros | 1 | 5% |
| Singapore | 1 | 5% |
| France | 1 | 5% |
| Canada | 1 | 5% |
| Unknown | 8 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 65% |
| Scientists | 5 | 25% |
| Practitioners (doctors, other healthcare professionals) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Mexico | 1 | 2% |
| Uruguay | 1 | 2% |
| Belgium | 1 | 2% |
| Unknown | 38 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 30% |
| Student > Ph. D. Student | 8 | 19% |
| Student > Bachelor | 3 | 7% |
| Professor | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 8 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 14% |
| Medicine and Dentistry | 6 | 14% |
| Engineering | 4 | 9% |
| Agricultural and Biological Sciences | 3 | 7% |
| Mathematics | 3 | 7% |
| Other | 14 | 33% |
| Unknown | 7 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 23 January 2017.
All research outputs
#3,280,832
of 25,706,302 outputs
Outputs from BioData Mining
#60
of 325 outputs
Outputs of similar age
#31,610
of 237,052 outputs
Outputs of similar age from BioData Mining
#2
of 5 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 325 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 81% 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 237,052 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.