You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program
|
---|---|
Published in |
Genome Medicine, August 2021
|
DOI | 10.1186/s13073-021-00917-8 |
Pubmed ID | |
Authors |
Brian E. Cade, Jiwon Lee, Tamar Sofer, Heming Wang, Man Zhang, Han Chen, Sina A. Gharib, Daniel J. Gottlieb, Xiuqing Guo, Jacqueline M. Lane, Jingjing Liang, Xihong Lin, Hao Mei, Sanjay R. Patel, Shaun M. Purcell, Richa Saxena, Neomi A. Shah, Daniel S. Evans, Craig L. Hanis, David R. Hillman, Sutapa Mukherjee, Lyle J. Palmer, Katie L. Stone, Gregory J. Tranah, Gonçalo R. Abecasis, Eric A. Boerwinkle, Adolfo Correa, L. Adrienne Cupples, Robert C. Kaplan, Deborah A. Nickerson, Kari E. North, Bruce M. Psaty, Jerome I. Rotter, Stephen S. Rich, Russell P. Tracy, Ramachandran S. Vasan, James G. Wilson, Xiaofeng Zhu, Susan Redline |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 9% |
Student > Master | 4 | 9% |
Student > Ph. D. Student | 3 | 7% |
Student > Doctoral Student | 3 | 7% |
Professor | 2 | 5% |
Other | 4 | 9% |
Unknown | 23 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 14% |
Biochemistry, Genetics and Molecular Biology | 5 | 12% |
Nursing and Health Professions | 2 | 5% |
Agricultural and Biological Sciences | 1 | 2% |
Computer Science | 1 | 2% |
Other | 5 | 12% |
Unknown | 23 | 53% |
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 07 October 2021.
All research outputs
#14,268,548
of 23,310,485 outputs
Outputs from Genome Medicine
#1,268
of 1,456 outputs
Outputs of similar age
#206,194
of 430,457 outputs
Outputs of similar age from Genome Medicine
#32
of 44 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 12th percentile – i.e., 12% 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 430,457 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 44 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.