| Title |
A computerized expert system for diagnosing primary headache based on International Classification of Headache Disorder (ICHD-II)
|
|---|---|
| Published in |
SpringerPlus, April 2013
|
| DOI | 10.1186/2193-1801-2-199 |
| Pubmed ID | |
| Authors |
Vahid Eslami, Sadreddin Rouhani-Esfahani, Nima Hafezi-Nejad, Farshid Refaeian, Siamak Abdi, Mansoureh Togha |
| Abstract |
The authors developed a computerized program designed to diagnose primary headache based on international classification of headache disorders, 2nd edition (ICHD-II) criteria for use by physicians. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 19% |
| Student > Master | 4 | 15% |
| Student > Postgraduate | 3 | 11% |
| Professor > Associate Professor | 3 | 11% |
| Lecturer > Senior Lecturer | 2 | 7% |
| Other | 6 | 22% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 41% |
| Nursing and Health Professions | 2 | 7% |
| Computer Science | 2 | 7% |
| Engineering | 2 | 7% |
| Psychology | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 6 | 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 29 May 2013.
All research outputs
#7,428,992
of 22,711,242 outputs
Outputs from SpringerPlus
#493
of 1,852 outputs
Outputs of similar age
#64,705
of 192,347 outputs
Outputs of similar age from SpringerPlus
#17
of 103 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 68% 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 192,347 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.