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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Determinants of health literacy and health behavior regarding infectious respiratory diseases: a pathway model
|
|---|---|
| Published in |
BMC Public Health, March 2013
|
| DOI | 10.1186/1471-2458-13-261 |
| Pubmed ID | |
| Authors |
Xinying Sun, Yuhui Shi, Qingqi Zeng, Yanling Wang, Weijing Du, Nanfang Wei, Ruiqian Xie, Chun Chang |
| Abstract |
Health literacy has been defined as the degree to which individuals have the capacity to obtain, process, and understand the basic health information and services needed to make appropriate health decisions. Currently, few studies have validated the causal pathways of determinants of health literacy through the use of statistical modeling. The purpose of the present study was to develop and validate a health literacy model at an individual level that could best explain the determinants of health literacy and the associations between health literacy and health behaviors even health status. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 5 | 71% |
| Austria | 1 | 14% |
| Canada | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 282 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| Indonesia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Greece | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 277 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 56 | 20% |
| Student > Bachelor | 43 | 15% |
| Student > Ph. D. Student | 34 | 12% |
| Researcher | 16 | 6% |
| Lecturer | 15 | 5% |
| Other | 50 | 18% |
| Unknown | 68 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 64 | 23% |
| Nursing and Health Professions | 44 | 16% |
| Social Sciences | 35 | 12% |
| Psychology | 14 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 10 | 4% |
| Other | 36 | 13% |
| Unknown | 79 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 26 July 2020.
All research outputs
#4,500,244
of 25,299,129 outputs
Outputs from BMC Public Health
#5,133
of 16,958 outputs
Outputs of similar age
#35,448
of 203,645 outputs
Outputs of similar age from BMC Public Health
#60
of 307 outputs
Altmetric has tracked 25,299,129 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has gotten more attention than average, scoring higher than 69% 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 203,645 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 82% of its contemporaries.
We're also able to compare this research output to 307 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.