| Title |
Leveraging linkage evidence to identify low-frequency and rare variants on 16p13 associated with blood pressure using TOPMed whole genome sequencing data
|
|---|---|
| Published in |
Human Genetics, January 2019
|
| DOI | 10.1007/s00439-019-01975-0 |
| Pubmed ID | |
| Authors |
Karen Y. He, Xiaoyin Li, Tanika N. Kelly, Jingjing Liang, Brian E. Cade, Themistocles L. Assimes, Lewis C. Becker, Amber L. Beitelshees, Adam P. Bress, Yen-Pei Christy Chang, Yii-Der Ida Chen, Paul S. de Vries, Ervin R. Fox, Nora Franceschini, Anna Furniss, Yan Gao, Xiuqing Guo, Jeffrey Haessler, Shih-Jen Hwang, Marguerite Ryan Irvin, Rita R. Kalyani, Ching-Ti Liu, Chunyu Liu, Lisa Warsinger Martin, May E. Montasser, Paul M. Muntner, Stanford Mwasongwe, Walter Palmas, Alex P. Reiner, Daichi Shimbo, Jennifer A. Smith, Beverly M. Snively, Lisa R. Yanek, Eric Boerwinkle, Adolfo Correa, L. Adrienne Cupples, Jiang He, Sharon L. R. Kardia, Charles Kooperberg, Rasika A. Mathias, Braxton D. Mitchell, Bruce M. Psaty, Ramachandran S. Vasan, D. C. Rao, Stephen S. Rich, Jerome I. Rotter, James G. Wilson, Aravinda Chakravarti, Alanna C. Morrison, Daniel Levy, Donna K. Arnett, Susan Redline, Xiaofeng Zhu |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 13% |
| Researcher | 5 | 13% |
| Student > Bachelor | 4 | 10% |
| Professor | 4 | 10% |
| Professor > Associate Professor | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 11 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 21% |
| Biochemistry, Genetics and Molecular Biology | 7 | 18% |
| Psychology | 4 | 10% |
| Mathematics | 3 | 8% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 12 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 21 March 2019.
All research outputs
#14,570,412
of 23,337,345 outputs
Outputs from Human Genetics
#2,470
of 2,983 outputs
Outputs of similar age
#238,401
of 439,013 outputs
Outputs of similar age from Human Genetics
#7
of 22 outputs
Altmetric has tracked 23,337,345 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,983 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 15th percentile – i.e., 15% 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 439,013 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.