| Title |
Taiwan’s National Health Insurance Research Database: administrative health care database as study object in bibliometrics
|
|---|---|
| Published in |
Scientometrics, September 2010
|
| DOI | 10.1007/s11192-010-0289-2 |
| Authors |
Yu-Chun Chen, Hsiao-Yun Yeh, Jau-Ching Wu, Ingo Haschler, Tzeng-Ji Chen, Thomas Wetter |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| India | 1 | 1% |
| Taiwan | 1 | 1% |
| Unknown | 85 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 19% |
| Librarian | 11 | 12% |
| Student > Ph. D. Student | 7 | 8% |
| Professor > Associate Professor | 7 | 8% |
| Student > Master | 6 | 7% |
| Other | 24 | 27% |
| Unknown | 18 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 20 | 22% |
| Computer Science | 11 | 12% |
| Medicine and Dentistry | 9 | 10% |
| Business, Management and Accounting | 4 | 4% |
| Economics, Econometrics and Finance | 4 | 4% |
| Other | 19 | 21% |
| Unknown | 23 | 26% |
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 31 December 2010.
All research outputs
#20,187,333
of 22,703,044 outputs
Outputs from Scientometrics
#2,476
of 2,666 outputs
Outputs of similar age
#90,326
of 95,184 outputs
Outputs of similar age from Scientometrics
#6
of 6 outputs
Altmetric has tracked 22,703,044 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 2,666 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 95,184 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 6 others from the same source and published within six weeks on either side of this one.