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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Questionnaire survey about use of an online appointment booking system in one large tertiary public hospital outpatient service center in China
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2014
|
| DOI | 10.1186/1472-6947-14-49 |
| Pubmed ID | |
| Authors |
MinMin Zhang, CongXin Zhang, QinWen Sun, QuanCai Cai, Hua Yang, YinJuan Zhang |
| Abstract |
As a part of nationwide healthcare reforms, the Chinese government launched web-based appointment systems (WAS) to provide a solution to problems around outpatient appointments and services. These have been in place in all Chinese public tertiary hospitals since 2009. |
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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 157 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 17% |
| Student > Bachelor | 25 | 16% |
| Student > Ph. D. Student | 13 | 8% |
| Researcher | 8 | 5% |
| Other | 8 | 5% |
| Other | 19 | 12% |
| Unknown | 58 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 18% |
| Computer Science | 18 | 11% |
| Business, Management and Accounting | 13 | 8% |
| Nursing and Health Professions | 11 | 7% |
| Psychology | 6 | 4% |
| Other | 18 | 11% |
| Unknown | 63 | 40% |
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 12 June 2014.
All research outputs
#15,146,159
of 24,051,764 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,149
of 2,054 outputs
Outputs of similar age
#123,867
of 233,111 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#18
of 26 outputs
Altmetric has tracked 24,051,764 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,054 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 38th percentile – i.e., 38% 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 233,111 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.