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Current limitations of SNP data from the public domain for studies of complex disorders: a test for ten candidate genes for obesity and osteoporosis

Overview of attention for article published in BMC Genomic Data, February 2004
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1 Wikipedia page

Citations

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Title
Current limitations of SNP data from the public domain for studies of complex disorders: a test for ten candidate genes for obesity and osteoporosis
Published in
BMC Genomic Data, February 2004
DOI 10.1186/1471-2156-5-4
Pubmed ID
Authors

Volodymyr Dvornyk, Ji-Rong Long, Dong-Hai Xiong, Peng-Yuan Liu, Lan-Juan Zhao, Hui Shen, Yuan-Yuan Zhang, Yong-Jun Liu, Sonia Rocha-Sanchez, Peng Xiao, Robert R Recker, Hong-Wen Deng

Abstract

Public SNP databases are frequently used to choose SNPs for candidate genes in the association and linkage studies of complex disorders. However, their utility for such studies of diseases with ethnic-dependent background has never been evaluated.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 21%
Student > Ph. D. Student 10 16%
Professor 6 10%
Student > Master 5 8%
Student > Bachelor 3 5%
Other 13 21%
Unknown 12 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 32%
Biochemistry, Genetics and Molecular Biology 8 13%
Medicine and Dentistry 6 10%
Unspecified 3 5%
Nursing and Health Professions 2 3%
Other 8 13%
Unknown 15 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 July 2010.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from BMC Genomic Data
#316
of 1,204 outputs
Outputs of similar age
#22,368
of 62,901 outputs
Outputs of similar age from BMC Genomic Data
#1
of 3 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 65% 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 62,901 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them