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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prescription patterns of traditional Chinese medicine amongst Taiwanese children: a population-based cohort study
|
|---|---|
| Published in |
BMC Complementary Medicine and Therapies, June 2018
|
| DOI | 10.1186/s12906-018-2261-2 |
| Pubmed ID | |
| Authors |
Hwey-Fang Liang, Yao-Hsu Yang, Pau-Chung Chen, Hsing-Chun Kuo, Chia-Hao Chang, Ying-Hsiang Wang, Kuang-Ming Wu |
| Abstract |
Traditional Chinese medicine (TCM) has been used by Chinese patients and in many other countries worldwide. However, epidemiological reports and prescription patterns on children are few. A cohort of 178,617 children aged 18 and under from one million randomly sampled cases of the National Health Insurance Research Database was analyzed for TCM prescription patterns. SAS 9.1 was applied and descriptive medicine utilization patterns were presented. The cohort included 112,889 children treated by TCM, with adolescents (12- to 18-year-olds) as the largest group. In the children's TCM outpatient visits, Chinese herbal remedies were the main treatment. The top three categories of diseases treated with Chinese herbal remedies were respiratory system; symptoms, signs, and ill-defined conditions; and digestive system. The top three categories using acupuncture were: injury and poisoning, diseases of the musculoskeletal system and connective tissue, and diseases of the respiratory system. Of the top ten herbal medicines prescribed by TCM physicians, the top nine herbal formulae and the top ten single herbs were associated with diseases of the respiratory system. This study identified patterns of TCM prescriptions for children and common disease categories treated with TCM. The results provide a useful reference for health policy makers and for those who consider the usage of TCM for children. |
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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 12% |
| Student > Master | 5 | 10% |
| Researcher | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Other | 2 | 4% |
| Other | 9 | 18% |
| Unknown | 23 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 14% |
| Nursing and Health Professions | 6 | 12% |
| Agricultural and Biological Sciences | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Philosophy | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 27 | 53% |
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 02 August 2018.
All research outputs
#20,523,725
of 23,092,602 outputs
Outputs from BMC Complementary Medicine and Therapies
#3,001
of 3,657 outputs
Outputs of similar age
#287,965
of 328,678 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#58
of 82 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,657 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 1st percentile – i.e., 1% 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 328,678 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 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.