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Mendeley readers
Attention Score in Context
Title |
Genome-wide association study of bipolar disorder in Canadian and UK populations corroborates disease loci including SYNE1 and CSMD1
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Published in |
BMC Medical Genomics, January 2014
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
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
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.