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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On mining latent treatment patterns from electronic medical records
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, September 2014
|
| DOI | 10.1007/s10618-014-0381-y |
| Authors |
Zhengxing Huang, Wei Dong, Peter Bath, Lei Ji, Huilong Duan |
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 % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 1% |
| Brazil | 1 | 1% |
| Belgium | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 90 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 19% |
| Student > Ph. D. Student | 16 | 17% |
| Researcher | 13 | 14% |
| Student > Doctoral Student | 7 | 7% |
| Professor | 6 | 6% |
| Other | 17 | 18% |
| Unknown | 18 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 35 | 37% |
| Engineering | 8 | 8% |
| Medicine and Dentistry | 8 | 8% |
| Business, Management and Accounting | 5 | 5% |
| Social Sciences | 5 | 5% |
| Other | 10 | 11% |
| Unknown | 24 | 25% |
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 28 September 2014.
All research outputs
#19,382,126
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#490
of 546 outputs
Outputs of similar age
#184,389
of 255,384 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#6
of 7 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 546 research outputs from this source. They receive a mean Attention Score of 3.7. 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 255,384 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.