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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Utilização de diagramas causais em epidemiologia: um exemplo de aplicação em situação de confusão
|
|---|---|
| Published in |
Cadernos de Saúde Pública, August 2016
|
| DOI | 10.1590/0102-311x00103115 |
| Pubmed ID | |
| Authors |
Taísa Rodrigues Cortes, Eduardo Faerstein, Claudio José Struchiner |
| Abstract |
Epidemiological research still rarely uses causal diagrams, despite growing recognition of their explanatory potential. One possible reason is that many research programs involve themes in which there is a certain degree of uncertainty as to mechanisms in the processes that generate the data. In this study, the relationship between occupational stress and obesity is used as an example of the application of causal diagrams to questions related to confounding. The article presents the selection stages for variables in statistical adjustment and the derivation of a causal diagram's statistical implications. The main advantage of causal diagrams is that they explicitly reveal the respective model's underlying hypotheses, allowing critical analysis of the implications and thereby facilitating identification of sources of bias and uncertainty in the epidemiological study's results. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 19% |
| Student > Doctoral Student | 9 | 12% |
| Student > Bachelor | 9 | 12% |
| Professor | 7 | 9% |
| Student > Ph. D. Student | 6 | 8% |
| Other | 12 | 15% |
| Unknown | 20 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 31% |
| Nursing and Health Professions | 11 | 14% |
| Engineering | 5 | 6% |
| Agricultural and Biological Sciences | 3 | 4% |
| Psychology | 2 | 3% |
| Other | 9 | 12% |
| Unknown | 24 | 31% |
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 23 July 2018.
All research outputs
#16,722,913
of 25,374,917 outputs
Outputs from Cadernos de Saúde Pública
#951
of 1,855 outputs
Outputs of similar age
#240,470
of 378,554 outputs
Outputs of similar age from Cadernos de Saúde Pública
#13
of 30 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,855 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 378,554 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 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 50% of its contemporaries.