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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evidence of Heterogeneity by Race/Ethnicity in Genetic Determinants of QT Interval
|
|---|---|
| Published in |
Epidemiology, November 2014
|
| DOI | 10.1097/ede.0000000000000168 |
| Pubmed ID | |
| Authors |
Amanda A. Seyerle, Alicia M. Young, Janina M. Jeff, Phillip E. Melton, Neal W. Jorgensen, Yi Lin, Cara L. Carty, Ewa Deelman, Susan R. Heckbert, Lucia A. Hindorff, Rebecca D. Jackson, Lisa W. Martin, Peter M. Okin, Marco V. Perez, Bruce M. Psaty, Elsayed Z. Soliman, Eric A. Whitsel, Kari E. North, Sandra Laston, Charles Kooperberg, Christy L. Avery |
| Abstract |
QT interval (QT) prolongation is an established risk factor for ventricular tachyarrhythmia and sudden cardiac death. Previous genome-wide association studies in populations of the European descent have identified multiple genetic loci that influence QT, but few have examined these loci in ethnically diverse populations. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 21% |
| Researcher | 6 | 13% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Bachelor | 5 | 10% |
| Student > Doctoral Student | 4 | 8% |
| Other | 4 | 8% |
| Unknown | 13 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 33% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Agricultural and Biological Sciences | 4 | 8% |
| Social Sciences | 3 | 6% |
| Engineering | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 14 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 October 2014.
All research outputs
#14,913,296
of 25,371,288 outputs
Outputs from Epidemiology
#2,510
of 3,492 outputs
Outputs of similar age
#133,660
of 273,823 outputs
Outputs of similar age from Epidemiology
#18
of 31 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,492 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. This one is in the 27th percentile – i.e., 27% 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 273,823 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 50% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.