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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Novel solutions for an old disease: Diagnosis of acute appendicitis with random forest, support vector machines, and artificial neural networks
|
|---|---|
| Published in |
Surgery, May 2010
|
| DOI | 10.1016/j.surg.2010.03.023 |
| Pubmed ID | |
| Authors |
Chung-Ho Hsieh, Ruey-Hwa Lu, Nai-Hsin Lee, Wen-Ta Chiu, Min-Huei Hsu, Yu-Chuan Li |
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 % |
|---|---|---|
| Unknown | 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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Sweden | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 112 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 14% |
| Student > Master | 16 | 14% |
| Researcher | 12 | 10% |
| Other | 11 | 10% |
| Student > Doctoral Student | 7 | 6% |
| Other | 26 | 23% |
| Unknown | 27 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 27% |
| Computer Science | 16 | 14% |
| Engineering | 6 | 5% |
| Earth and Planetary Sciences | 6 | 5% |
| Agricultural and Biological Sciences | 5 | 4% |
| Other | 19 | 17% |
| Unknown | 32 | 28% |
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 24 January 2017.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Surgery
#5,453
of 6,474 outputs
Outputs of similar age
#94,056
of 103,776 outputs
Outputs of similar age from Surgery
#16
of 16 outputs
Altmetric has tracked 25,374,917 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 6,474 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 4th percentile – i.e., 4% 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 103,776 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 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.