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 |
Detection of identity by descent using next-generation whole genome sequencing data
|
|---|---|
| Published in |
BMC Bioinformatics, June 2012
|
| DOI | 10.1186/1471-2105-13-121 |
| Pubmed ID | |
| Authors |
Shu-Yi Su, Jay Kasberger, Sergio Baranzini, William Byerley, Wilson Liao, Jorge Oksenberg, Elliott Sherr, Eric Jorgenson |
| Abstract |
Identity by descent (IBD) has played a fundamental role in the discovery of genetic loci underlying human diseases. Both pedigree-based and population-based linkage analyses rely on estimating recent IBD, and evidence of ancient IBD can be used to detect population structure in genetic association studies. Various methods for detecting IBD, including those implemented in the soft- ware programs fastIBD and GERMLINE, have been developed in the past several years using population genotype data from microarray platforms. Now, next-generation DNA sequencing data is becoming increasingly available, enabling the comprehensive analysis of genomes, in- cluding identifying rare variants. These sequencing data may provide an opportunity to detect IBD with higher resolution than previously possible, potentially enabling the detection of disease causing loci that were previously undetectable with sparser genetic data. |
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 % |
|---|---|---|
| Germany | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Netherlands | 2 | 2% |
| Germany | 2 | 2% |
| Sweden | 2 | 2% |
| Korea, Republic of | 1 | 1% |
| Italy | 1 | 1% |
| New Zealand | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 82 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 34% |
| Student > Ph. D. Student | 24 | 25% |
| Student > Master | 11 | 12% |
| Professor > Associate Professor | 7 | 7% |
| Student > Doctoral Student | 5 | 5% |
| Other | 13 | 14% |
| Unknown | 3 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 54 | 57% |
| Biochemistry, Genetics and Molecular Biology | 17 | 18% |
| Medicine and Dentistry | 8 | 8% |
| Computer Science | 3 | 3% |
| Psychology | 3 | 3% |
| Other | 8 | 8% |
| Unknown | 2 | 2% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 27 October 2014.
All research outputs
#5,848,216
of 22,668,244 outputs
Outputs from BMC Bioinformatics
#2,168
of 7,247 outputs
Outputs of similar age
#41,141
of 166,899 outputs
Outputs of similar age from BMC Bioinformatics
#36
of 106 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 69% of its peers.
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 166,899 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 74% of its contemporaries.
We're also able to compare this research output to 106 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 66% of its contemporaries.