| Title |
Lifestyle factors among proton pump inhibitor users and nonusers: a cross-sectional study in a population-based setting
|
|---|---|
| Published in |
Clinical Epidemiology, December 2013
|
| DOI | 10.2147/clep.s49354 |
| Pubmed ID | |
| Authors |
Frederik Hvid-Jensen, Rikke B Nielsen, Lars Pedersen, Peter Funch-Jensen, Asbjørn Mohr Drewes, Finn B Larsen, Reimar W Thomsen |
| Abstract |
Lifestyle factors may influence observed associations between proton pump inhibitor (PPI) usage and health outcomes. The aim of the study reported here was to examine characteristics and differences in lifestyle among PPI users and nonusers. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 39 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 22% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Bachelor | 4 | 10% |
| Student > Postgraduate | 4 | 10% |
| Professor > Associate Professor | 4 | 10% |
| Other | 6 | 15% |
| Unknown | 9 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 46% |
| Agricultural and Biological Sciences | 2 | 5% |
| Immunology and Microbiology | 2 | 5% |
| Mathematics | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 11 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 December 2013.
All research outputs
#18,355,685
of 22,733,113 outputs
Outputs from Clinical Epidemiology
#565
of 711 outputs
Outputs of similar age
#232,135
of 307,131 outputs
Outputs of similar age from Clinical Epidemiology
#12
of 21 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 711 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 8th percentile – i.e., 8% 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 307,131 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.