↓ Skip to main content

LDGIdb: a database of gene interactions inferred from long-range strong linkage disequilibrium between pairs of SNPs

Overview of attention for article published in BMC Research Notes, May 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
35 Mendeley
citeulike
3 CiteULike
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.
Title
LDGIdb: a database of gene interactions inferred from long-range strong linkage disequilibrium between pairs of SNPs
Published in
BMC Research Notes, May 2012
DOI 10.1186/1756-0500-5-212
Pubmed ID
Authors

Ming-Chih Wang, Feng-Chi Chen, Yen-Zho Chen, Yao-Ting Huang, Trees-Juen Chuang

Abstract

Complex human diseases may be associated with many gene interactions. Gene interactions take several different forms and it is difficult to identify all of the interactions that are potentially associated with human diseases. One approach that may fill this knowledge gap is to infer previously unknown gene interactions via identification of non-physical linkages between different mutations (or single nucleotide polymorphisms, SNPs) to avoid hitchhiking effect or lack of recombination. Strong non-physical SNP linkages are considered to be an indication of biological (gene) interactions. These interactions can be physical protein interactions, regulatory interactions, functional compensation/antagonization or many other forms of interactions. Previous studies have shown that mutations in different genes can be linked to the same disorders. Therefore, non-physical SNP linkages, coupled with knowledge of SNP-disease associations may shed more light on the role of gene interactions in human disorders. A user-friendly web resource that integrates information about non-physical SNP linkages, gene annotations, SNP information, and SNP-disease associations may thus be a good reference for biomedical research.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
Israel 1 3%
Denmark 1 3%
France 1 3%
Unknown 31 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 29%
Student > Ph. D. Student 7 20%
Professor 6 17%
Student > Bachelor 3 9%
Lecturer > Senior Lecturer 1 3%
Other 3 9%
Unknown 5 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 46%
Biochemistry, Genetics and Molecular Biology 5 14%
Medicine and Dentistry 2 6%
Engineering 2 6%
Computer Science 1 3%
Other 2 6%
Unknown 7 20%
Attention Score in Context

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 04 May 2012.
All research outputs
#18,305,773
of 22,664,644 outputs
Outputs from BMC Research Notes
#3,005
of 4,248 outputs
Outputs of similar age
#126,211
of 163,461 outputs
Outputs of similar age from BMC Research Notes
#44
of 57 outputs
Altmetric has tracked 22,664,644 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 4,248 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 163,461 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 57 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.