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Mendeley readers
Attention Score in Context
| Title |
Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees
|
|---|---|
| Published in |
BMC Proceedings, June 2014
|
| DOI | 10.1186/1753-6561-8-s1-s1 |
| Pubmed ID | |
| Authors |
Heike Bickeböller, Julia N Bailey, Joseph Beyene, Rita M Cantor, Heather J Cordell, Robert C Culverhouse, Corinne D Engelman, David W Fardo, Saurabh Ghosh, Inke R König, Justo Lorenzo Bermejo, Phillip E Melton, Stephanie A Santorico, Glen A Satten, Lei Sun, Nathan L Tintle, Andreas Ziegler, Jean W MacCluer, Laura Almasy |
| Abstract |
Genetic Analysis Workshop 18 provided a platform for developing and evaluating statistical methods to analyze whole-genome sequence data from a pedigree-based sample. In this article we present an overview of the data sets and the contributions that analyzed these data. The family data, donated by the Type 2 Diabetes Genetic Exploration by Next-Generation Sequencing in Ethnic Samples Consortium, included sequence-level genotypes based on sequencing and imputation, genome-wide association genotypes from prior genotyping arrays, and phenotypes from longitudinal assessments. The contributions from individual research groups were extensively discussed before, during, and after the workshop in theme-based discussion groups before being submitted for publication. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 26% |
| Professor > Associate Professor | 4 | 17% |
| Student > Ph. D. Student | 4 | 17% |
| Other | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Other | 3 | 13% |
| Unknown | 2 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 39% |
| Biochemistry, Genetics and Molecular Biology | 5 | 22% |
| Computer Science | 2 | 9% |
| Medicine and Dentistry | 2 | 9% |
| Mathematics | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 2 | 9% |
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 27 June 2014.
All research outputs
#17,722,431
of 22,757,541 outputs
Outputs from BMC Proceedings
#256
of 374 outputs
Outputs of similar age
#155,559
of 228,185 outputs
Outputs of similar age from BMC Proceedings
#7
of 21 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 374 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 29th percentile – i.e., 29% 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 228,185 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 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 61% of its contemporaries.