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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterizing linkage disequilibrium and evaluating imputation power of human genomic insertion-deletion polymorphisms
|
|---|---|
| Published in |
Genome Biology, February 2012
|
| DOI | 10.1186/gb-2012-13-2-r15 |
| Pubmed ID | |
| Authors |
James T Lu, Yi Wang, Richard A Gibbs, Fuli Yu |
| Abstract |
Indels are an important cause of human variation and central to the study of human disease. The 1000 Genomes Project Low-Coverage Pilot identified over 1.3 million indels shorter than 50 bp, of which over 890 were identified as potentially disruptive variants. Yet, despite their ubiquity, the local genomic characteristics of indels remain unexplored. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 33% |
| United Kingdom | 1 | 17% |
| Germany | 1 | 17% |
| Canada | 1 | 17% |
| Australia | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 4 | 8% |
| United States | 1 | 2% |
| South Africa | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 46 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 26% |
| Student > Ph. D. Student | 9 | 17% |
| Student > Bachelor | 5 | 9% |
| Student > Master | 5 | 9% |
| Professor > Associate Professor | 4 | 8% |
| Other | 7 | 13% |
| Unknown | 9 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 51% |
| Medicine and Dentistry | 5 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Mathematics | 3 | 6% |
| Computer Science | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 10 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 March 2012.
All research outputs
#8,262,107
of 25,374,647 outputs
Outputs from Genome Biology
#3,444
of 4,467 outputs
Outputs of similar age
#54,288
of 167,993 outputs
Outputs of similar age from Genome Biology
#38
of 43 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
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 22nd percentile – i.e., 22% 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 167,993 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 66% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.