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Genome-wide association study of bipolar disorder in Canadian and UK populations corroborates disease loci including SYNE1 and CSMD1

Overview of attention for article published in BMC Medical Genomics, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
122 Mendeley
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Title
Genome-wide association study of bipolar disorder in Canadian and UK populations corroborates disease loci including SYNE1 and CSMD1
Published in
BMC Medical Genomics, January 2014
DOI 10.1186/1471-2350-15-2
Pubmed ID
Authors

Wei Xu, Sarah Cohen-Woods, Qian Chen, Abdul Noor, Jo Knight, Georgina Hosang, Sagar V Parikh, Vincenzo De Luca, Federica Tozzi, Pierandrea Muglia, Julia Forte, Andrew McQuillin, Pingzhao Hu, Hugh MD Gurling, James L Kennedy, Peter McGuffin, Anne Farmer, John Strauss, John B Vincent

Abstract

Recently, genome-wide association studies (GWAS) for cases versus controls using single nucleotide polymorphism microarray data have shown promising findings for complex neuropsychiatric disorders, including bipolar disorder (BD).

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Germany 2 2%
Netherlands 1 <1%
United States 1 <1%
Unknown 116 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 19%
Researcher 16 13%
Student > Bachelor 16 13%
Student > Master 15 12%
Professor 6 5%
Other 18 15%
Unknown 28 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 21%
Medicine and Dentistry 18 15%
Biochemistry, Genetics and Molecular Biology 17 14%
Psychology 12 10%
Neuroscience 7 6%
Other 9 7%
Unknown 33 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 September 2017.
All research outputs
#3,621,629
of 25,371,288 outputs
Outputs from BMC Medical Genomics
#225
of 2,444 outputs
Outputs of similar age
#40,585
of 319,124 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 29 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 90% 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 319,124 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.