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Mendeley readers
Attention Score in Context
| Title |
Integration of Genetics into a Systems Model of Electrocardiographic Traits Using HumanCVD BeadChip
|
|---|---|
| Published in |
Circulation: Genomic and Precision Medicine, November 2012
|
| DOI | 10.1161/circgenetics.112.962852 |
| Pubmed ID | |
| Authors |
Tom R. Gaunt, Sonia Shah, Christopher P. Nelson, Fotios Drenos, Peter S. Braund, Ismail Adeniran, Lasse Folkersen, Debbie A. Lawlor, Juan-Pablo Casas, Antoinette Amuzu, Mika Kivimaki, John Whittaker, Per Eriksson, Henggui Zhang, Jules C. Hancox, Maciej Tomaszewski, Paul R. Burton, Martin D. Tobin, Steve E. Humphries, Philippa J. Talmud, Peter W. Macfarlane, Aroon D. Hingorani, Nilesh J. Samani, Meena Kumari, Ian N.M. Day |
| Abstract |
Electrocardiographic traits are important, substantially heritable determinants of risk of arrhythmias and sudden cardiac death. |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Unknown | 28 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 24% |
| Student > Ph. D. Student | 5 | 17% |
| Student > Master | 4 | 14% |
| Professor | 3 | 10% |
| Professor > Associate Professor | 3 | 10% |
| Other | 5 | 17% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 28% |
| Medicine and Dentistry | 8 | 28% |
| Biochemistry, Genetics and Molecular Biology | 6 | 21% |
| Social Sciences | 2 | 7% |
| Computer Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 3 | 10% |
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 19 February 2013.
All research outputs
#23,084,818
of 25,728,855 outputs
Outputs from Circulation: Genomic and Precision Medicine
#1,008
of 1,072 outputs
Outputs of similar age
#178,358
of 199,185 outputs
Outputs of similar age from Circulation: Genomic and Precision Medicine
#12
of 14 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,072 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 199,185 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.