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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Use of and factors associated with self-treatment in China
|
|---|---|
| Published in |
BMC Public Health, November 2012
|
| DOI | 10.1186/1471-2458-12-995 |
| Pubmed ID | |
| Authors |
Li Yuefeng, Rao Keqin, Ren Xiaowei |
| Abstract |
When an individual is ill or symptomatic, they have the options of seeking professional health care, self-treating or doing nothing. In China, some studies suggest that the number of individuals opting to self-treat has been rapidly increasing in recent years. Therefore, the aim of this study was to analyze the trends of and factors related to self-treatment in China. |
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 % |
|---|---|---|
| United States | 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 16 | 17% |
| Student > Ph. D. Student | 11 | 12% |
| Researcher | 10 | 11% |
| Student > Master | 9 | 10% |
| Other | 5 | 5% |
| Other | 15 | 16% |
| Unknown | 27 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 8% |
| Psychology | 6 | 6% |
| Nursing and Health Professions | 5 | 5% |
| Economics, Econometrics and Finance | 4 | 4% |
| Other | 16 | 17% |
| Unknown | 36 | 39% |
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 17 November 2012.
All research outputs
#18,320,524
of 22,685,926 outputs
Outputs from BMC Public Health
#12,767
of 14,762 outputs
Outputs of similar age
#213,869
of 275,707 outputs
Outputs of similar age from BMC Public Health
#249
of 288 outputs
Altmetric has tracked 22,685,926 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 14,762 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 6th percentile – i.e., 6% 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 275,707 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 288 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.