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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Diagnostic accuracy of pattern differentiation algorithm based on Chinese medicine theory: a stochastic simulation study
|
|---|---|
| Published in |
Chinese Medicine, December 2009
|
| DOI | 10.1186/1749-8546-4-24 |
| Pubmed ID | |
| Authors |
Arthur Sá Ferreira |
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 % |
|---|---|---|
| Brazil | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 14% |
| Student > Bachelor | 3 | 14% |
| Professor | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 4 | 19% |
| Unknown | 7 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 38% |
| Computer Science | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 11 November 2022.
All research outputs
#7,149,102
of 25,374,917 outputs
Outputs from Chinese Medicine
#134
of 660 outputs
Outputs of similar age
#42,585
of 172,510 outputs
Outputs of similar age from Chinese Medicine
#5
of 8 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
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 done well, scoring higher than 79% 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 172,510 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
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 3 of them.