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Mendeley readers
Attention Score in Context
| Title |
Congruence as a measurement of extended haplotype structure across the genome
|
|---|---|
| Published in |
Journal of Translational Medicine, February 2012
|
| DOI | 10.1186/1479-5876-10-32 |
| Pubmed ID | |
| Authors |
Erin E Baschal, Jean M Jasinski, Theresa A Boyle, Pamela R Fain, George S Eisenbarth, Janet C Siebert |
| Abstract |
Historically, extended haplotypes have been defined using only a few data points, such as alleles for several HLA genes in the MHC. High-density SNP data, and the increasing affordability of whole genome SNP typing, creates the opportunity to define higher resolution extended haplotypes. This drives the need for new tools that support quantification and visualization of extended haplotypes as defined by as many as 2000 SNPs. Confronted with high-density SNP data across the major histocompatibility complex (MHC) for 2,300 complete families, compiled by the Type 1 Diabetes Genetics Consortium (T1DGC), we developed software for studying extended haplotypes. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 25% |
| Student > Ph. D. Student | 2 | 25% |
| Researcher | 2 | 25% |
| Student > Master | 1 | 13% |
| Professor | 1 | 13% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 38% |
| Mathematics | 1 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Computer Science | 1 | 13% |
| Economics, Econometrics and Finance | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 1 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 22 May 2012.
All research outputs
#18,306,425
of 22,665,794 outputs
Outputs from Journal of Translational Medicine
#2,925
of 3,954 outputs
Outputs of similar age
#120,688
of 155,423 outputs
Outputs of similar age from Journal of Translational Medicine
#36
of 49 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,954 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 16th percentile – i.e., 16% 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 155,423 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.