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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The functional spectrum of low-frequency coding variation
|
|---|---|
| Published in |
Genome Biology, September 2011
|
| DOI | 10.1186/gb-2011-12-9-r84 |
| Pubmed ID | |
| Authors |
Gabor T Marth, Fuli Yu, Amit R Indap, Kiran Garimella, Simon Gravel, Wen Fung Leong, Chris Tyler-Smith, Matthew Bainbridge, Tom Blackwell, Xiangqun Zheng-Bradley, Yuan Chen, Danny Challis, Laura Clarke, Edward V Ball, Kristian Cibulskis, David N Cooper, Bob Fulton, Chris Hartl, Dan Koboldt, Donna Muzny, Richard Smith, Carrie Sougnez, Chip Stewart, Alistair Ward, Jin Yu, Yali Xue, David Altshuler, Carlos D Bustamante, Andrew G Clark, Mark Daly, Mark DePristo, Paul Flicek, Stacey Gabriel, Elaine Mardis, Aarno Palotie, Richard Gibbs, the 1000 Genomes Project |
| Abstract |
Rare coding variants constitute an important class of human genetic variation, but are underrepresented in current databases that are based on small population samples. Recent studies show that variants altering amino acid sequence and protein function are enriched at low variant allele frequency, 2 to 5%, but because of insufficient sample size it is not clear if the same trend holds for rare variants below 1% allele frequency. |
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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 321 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 5% |
| United Kingdom | 5 | 2% |
| Germany | 3 | <1% |
| Spain | 3 | <1% |
| Korea, Republic of | 2 | <1% |
| Italy | 2 | <1% |
| Brazil | 2 | <1% |
| Canada | 2 | <1% |
| Australia | 1 | <1% |
| Other | 9 | 3% |
| Unknown | 276 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 104 | 32% |
| Student > Ph. D. Student | 71 | 22% |
| Other | 22 | 7% |
| Professor | 21 | 7% |
| Student > Bachelor | 20 | 6% |
| Other | 60 | 19% |
| Unknown | 23 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 179 | 56% |
| Biochemistry, Genetics and Molecular Biology | 43 | 13% |
| Medicine and Dentistry | 32 | 10% |
| Computer Science | 9 | 3% |
| Engineering | 5 | 2% |
| Other | 23 | 7% |
| Unknown | 30 | 9% |
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 14 January 2012.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#48,492
of 137,122 outputs
Outputs of similar age from Genome Biology
#32
of 46 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% 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 137,122 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.