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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Primary care workforce and continuous medical education in China: lessons to learn from a nationwide cross-sectional survey
|
|---|---|
| Published in |
BMJ Open, July 2017
|
| DOI | 10.1136/bmjopen-2016-015145 |
| Pubmed ID | |
| Authors |
William C W Wong, ShanZhu Zhu, Jason J Ong, MingHui Peng, Cindy L K Lam, Michael R Kidd, Martin Roland, SunFang Jiang |
| Abstract |
This study aimed to examine the education and training background of Chinese community health centres (CHCs) staff, continuous medical education (CME) and factors affecting participation in CME. Cross-sectional survey. Community health centres (CHCs). All doctors and nurses working in selected CHCs (excluding those solely practising traditional Chinese Medicine). CME recorded by CHCs and self-reported CME participation. A stratified random sample of CHCs based on geographical distribution and 2:1 urban-suburban ratio was selected covering three major regions of China. Two questionnaires, one for lead clinicians and another for frontline health professionals, were administered between September-December 2015, covering the demographics of clinic staff, staff training and CME activities. 149 lead clinicians (response rate 79%) and 1734 doctors and 1846 nurses completed the survey (response rate 86%). Of the doctors, 54.5% had a bachelor degree and only 47% were registered as general practitioners (GPs). Among the doctors, 10.5% carried senior titles. Few nurses (4.6%) had training in primary care. Those who have reported participating in CME were 91.6% doctors and 89.2% nurses. CME participation in doctors was more commonly reported by older doctors, females, those who were registered as a GP and those with intermediate or senior job titles. CME participation in nurses was more common among those with a bachelor degree or intermediate/senior job titles or those with longer working experience in the CHC. Only half of doctors have bachelor degrees or are registered as GPs as their prime registration in the primary care workforce in China. The vast majority of CHC staff participated in CME but there is room for improvement in how CME is organised. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 11 | 17% |
| Student > Master | 9 | 14% |
| Student > Bachelor | 6 | 10% |
| Lecturer | 3 | 5% |
| Professor | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 23 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 11 | 17% |
| Nursing and Health Professions | 11 | 17% |
| Medicine and Dentistry | 9 | 14% |
| Linguistics | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 27 | 43% |
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 17 July 2017.
All research outputs
#15,173,117
of 25,382,440 outputs
Outputs from BMJ Open
#16,132
of 25,593 outputs
Outputs of similar age
#169,465
of 324,713 outputs
Outputs of similar age from BMJ Open
#446
of 661 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 34th percentile – i.e., 34% 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 324,713 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 661 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.