| Title |
A web-based appointment system to reduce waiting for outpatients: A retrospective study
|
|---|---|
| Published in |
BMC Health Services Research, November 2011
|
| DOI | 10.1186/1472-6963-11-318 |
| Pubmed ID | |
| Authors |
Wenjun Cao, Yi Wan, Haibo Tu, Fujun Shang, Danhong Liu, Zhijun Tan, Caihong Sun, Qing Ye, Yongyong Xu |
| Abstract |
Long waiting times for registration to see a doctor is problematic in China, especially in tertiary hospitals. To address this issue, a web-based appointment system was developed for the Xijing hospital. The aim of this study was to investigate the efficacy of the web-based appointment system in the registration service for outpatients. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 296 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Unknown | 295 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 52 | 18% |
| Student > Master | 47 | 16% |
| Student > Ph. D. Student | 18 | 6% |
| Researcher | 17 | 6% |
| Student > Postgraduate | 14 | 5% |
| Other | 37 | 13% |
| Unknown | 111 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 52 | 18% |
| Medicine and Dentistry | 41 | 14% |
| Business, Management and Accounting | 21 | 7% |
| Nursing and Health Professions | 18 | 6% |
| Engineering | 13 | 4% |
| Other | 32 | 11% |
| Unknown | 119 | 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 24 April 2012.
All research outputs
#13,360,185
of 22,663,150 outputs
Outputs from BMC Health Services Research
#4,592
of 7,574 outputs
Outputs of similar age
#146,190
of 239,445 outputs
Outputs of similar age from BMC Health Services Research
#45
of 85 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,574 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 37th percentile – i.e., 37% 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 239,445 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.