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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automatic symptom name normalization in clinical records of traditional Chinese medicine
|
|---|---|
| Published in |
BMC Bioinformatics, January 2010
|
| DOI | 10.1186/1471-2105-11-40 |
| Pubmed ID | |
| Authors |
Yaqiang Wang, Zhonghua Yu, Yongguang Jiang, Kaikuo Xu, Xia Chen |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 29% |
| Researcher | 6 | 15% |
| Student > Doctoral Student | 5 | 12% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 3 | 7% |
| Other | 6 | 15% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 32% |
| Computer Science | 11 | 27% |
| Agricultural and Biological Sciences | 3 | 7% |
| Social Sciences | 2 | 5% |
| Mathematics | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 7 | 17% |
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 26 June 2011.
All research outputs
#18,796,327
of 23,294,050 outputs
Outputs from BMC Bioinformatics
#6,413
of 7,377 outputs
Outputs of similar age
#152,172
of 166,139 outputs
Outputs of similar age from BMC Bioinformatics
#44
of 59 outputs
Altmetric has tracked 23,294,050 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,377 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 166,139 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.