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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying the Zheng in psoriatic patients based on latent class analysis of traditional Chinese medicine symptoms and signs
|
|---|---|
| Published in |
Chinese Medicine, January 2014
|
| DOI | 10.1186/1749-8546-9-1 |
| Pubmed ID | |
| Authors |
Xuesong Yang, Virasakdi Chongsuvivatwong, Sanguan Lerkiatbundit, Jianzhou Ye, Xiaoyong Ouyang, Enpin Yang, Hutcha Sriplung |
| Abstract |
There are approximately five Zhengs reported in psoriatic patients. Systematic data collection and proper analysis for the classification of psoriasis have been lacking. This study aims to cluster the Zhengs in psoriatic patients based on the application of a checklist of traditional Chinese medicine (TCM) symptoms and signs followed by latent class analysis (LCA). |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 28% |
| Student > Master | 4 | 22% |
| Student > Bachelor | 2 | 11% |
| Librarian | 2 | 11% |
| Professor > Associate Professor | 2 | 11% |
| Other | 1 | 6% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 44% |
| Business, Management and Accounting | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Mathematics | 1 | 6% |
| Computer Science | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 November 2014.
All research outputs
#14,388,554
of 25,374,647 outputs
Outputs from Chinese Medicine
#187
of 660 outputs
Outputs of similar age
#167,949
of 318,650 outputs
Outputs of similar age from Chinese Medicine
#4
of 8 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 70% of its peers.
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 318,650 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.