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Analysis of the MTHFR C677T variant with migraine phenotypes

Overview of attention for article published in BMC Research Notes, July 2010
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users
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3 Facebook pages

Citations

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42 Dimensions

Readers on

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44 Mendeley
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Title
Analysis of the MTHFR C677T variant with migraine phenotypes
Published in
BMC Research Notes, July 2010
DOI 10.1186/1756-0500-3-213
Pubmed ID
Authors

Annie Liu, Saraswathy Menon, Natalie J Colson, Sharon Quinlan, Hannah Cox, Madelyn Peterson, Thomas Tiang, Larisa M Haupt, Rod A Lea, Lyn R Griffiths

Abstract

The methylenetetrahydrofolate reductase (MTHFR) gene variant C677T has been implicated as a genetic risk factor in migraine susceptibility, particularly in Migraine with Aura. Migraine, with and without aura (MA and MO) have many diagnostic characteristics in common. It is postulated that migraine symptomatic characteristics might themselves be influenced by MTHFR. Here we analysed the clinical profile, migraine symptoms, triggers and treatments of 267 migraineurs previously genotyped for the MTHFR C677T variant. The chi-square test was used to analyse all potential relationships between genotype and migraine clinical variables. Regression analyses were performed to assess the association of C677T with all migraine clinical variables after adjusting for gender.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Belgium 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 18%
Student > Ph. D. Student 7 16%
Student > Bachelor 7 16%
Researcher 6 14%
Professor > Associate Professor 6 14%
Other 7 16%
Unknown 3 7%
Readers by discipline Count As %
Medicine and Dentistry 9 20%
Agricultural and Biological Sciences 7 16%
Nursing and Health Professions 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Physics and Astronomy 3 7%
Other 16 36%
Unknown 3 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 February 2021.
All research outputs
#7,170,037
of 22,663,150 outputs
Outputs from BMC Research Notes
#1,158
of 4,248 outputs
Outputs of similar age
#32,565
of 93,827 outputs
Outputs of similar age from BMC Research Notes
#12
of 22 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,248 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 71% 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 93,827 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 64% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.