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A computerized expert system for diagnosing primary headache based on International Classification of Headache Disorder (ICHD-II)

Overview of attention for article published in SpringerPlus, April 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
27 Mendeley
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.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 7 26%
Unknown 3 11%
Readers by discipline Count As %
Medicine and Dentistry 11 41%
Nursing and Health Professions 2 7%
Computer Science 2 7%
Engineering 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 4 15%
Unknown 5 19%

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
#1,240,832
of 5,032,959 outputs
Outputs from SpringerPlus
#189
of 1,201 outputs
Outputs of similar age
#25,974
of 94,295 outputs
Outputs of similar age from SpringerPlus
#2
of 9 outputs
Altmetric has tracked 5,032,959 research outputs across all sources so far. This one has received more attention than most of these and is in the 63rd percentile.
So far Altmetric has tracked 1,201 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 82% 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 94,295 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 70% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.