| Title |
Detecting significant genotype–phenotype association rules in bipolar disorder: market research meets complex genetics
|
|---|---|
| Published in |
International Journal of Bipolar Disorders, November 2018
|
| DOI | 10.1186/s40345-018-0132-x |
| Pubmed ID | |
| Authors |
René Breuer, Manuel Mattheisen, Josef Frank, Bertram Krumm, Jens Treutlein, Layla Kassem, Jana Strohmaier, Stefan Herms, Thomas W. Mühleisen, Franziska Degenhardt, Sven Cichon, Markus M. Nöthen, George Karypis, John Kelsoe, Tiffany Greenwood, Caroline Nievergelt, Paul Shilling, Tatyana Shekhtman, Howard Edenberg, David Craig, Szabolcs Szelinger, John Nurnberger, Elliot Gershon, Ney Alliey-Rodriguez, Peter Zandi, Fernando Goes, Nicholas Schork, Erin Smith, Daniel Koller, Peng Zhang, Judith Badner, Wade Berrettini, Cinnamon Bloss, William Byerley, William Coryell, Tatiana Foroud, Yirin Guo, Maria Hipolito, Brendan Keating, William Lawson, Chunyu Liu, Pamela Mahon, Melvin McInnis, Sarah Murray, Evaristus Nwulia, James Potash, John Rice, William Scheftner, Sebastian Zöllner, Francis J. McMahon, Marcella Rietschel, Thomas G. Schulze |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 18% |
| Student > Bachelor | 7 | 12% |
| Student > Master | 5 | 9% |
| Researcher | 4 | 7% |
| Student > Postgraduate | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 21 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 9% |
| Neuroscience | 5 | 9% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Psychology | 4 | 7% |
| Computer Science | 4 | 7% |
| Other | 12 | 21% |
| Unknown | 23 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 January 2019.
All research outputs
#3,797,092
of 23,112,054 outputs
Outputs from International Journal of Bipolar Disorders
#106
of 289 outputs
Outputs of similar age
#75,674
of 345,756 outputs
Outputs of similar age from International Journal of Bipolar Disorders
#4
of 7 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 289 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one has gotten more attention than average, scoring higher than 62% 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 345,756 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 77% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.