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Headache symptoms from migraine patients with and without aura through structure-validated self-reports

Overview of attention for article published in BMC Neurology, October 2017
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Title
Headache symptoms from migraine patients with and without aura through structure-validated self-reports
Published in
BMC Neurology, October 2017
DOI 10.1186/s12883-017-0973-4
Pubmed ID
Authors

Jiawei Wang, Bingren Zhang, Chanchan Shen, Jinhua Zhang, Wei Wang

Abstract

Headache symptoms self-reported by migraine patients are largely congruent with the clinician-used diagnostic criteria, but not always so. Patients' self-reports of headache symptoms might offer additional clues to characterize migraine with (MA) and without (MO) aura more precisely. Firstly, we invited 324 participants with a life-long headache attack to answer an item-matrix measuring symptoms of primary headaches, then we performed both exploratory and confirmatory factor analyses to their answers and refined a headache symptom questionnaire. Secondly, we applied this questionnaire to 28 MA and 52 MO patients. In participants with a life-long headache, we refined a 27-item, structure-validated headache symptom questionnaire, with four factors (scales) namely the Somatic /Aura Symptoms, Gastrointestinal and Autonomic Symptoms, Tightness and Location Features, and Prodromal/Aggravating Symptoms. Further, we found that MA patients reported higher than did MO patients on the Somatic/Aura Symptoms and Tightness and Location Features scales. Compared to MO, MA was conferred with more prominent tightness and location features besides its higher somatic or aura symptoms. Patients' self-reports of headache symptoms might offer more clues to distinguish two types of migraine besides their clinician-defined criteria.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Other 3 13%
Student > Doctoral Student 2 9%
Student > Bachelor 2 9%
Professor > Associate Professor 2 9%
Other 3 13%
Unknown 7 30%
Readers by discipline Count As %
Medicine and Dentistry 4 17%
Neuroscience 3 13%
Psychology 2 9%
Biochemistry, Genetics and Molecular Biology 1 4%
Nursing and Health Professions 1 4%
Other 2 9%
Unknown 10 43%
Attention Score in Context

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 16 October 2017.
All research outputs
#18,573,839
of 23,005,189 outputs
Outputs from BMC Neurology
#1,907
of 2,457 outputs
Outputs of similar age
#248,816
of 324,848 outputs
Outputs of similar age from BMC Neurology
#14
of 25 outputs
Altmetric has tracked 23,005,189 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 2,457 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.