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The NEI/NCBI dbGAP database: Genotypes and haplotypes that may specifically predispose to risk of neovascular age-related macular degeneration

Overview of attention for article published in BMC Medical Genomics, June 2008
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Mentioned by

patent
1 patent

Citations

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58 Dimensions

Readers on

mendeley
43 Mendeley
citeulike
2 CiteULike
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Title
The NEI/NCBI dbGAP database: Genotypes and haplotypes that may specifically predispose to risk of neovascular age-related macular degeneration
Published in
BMC Medical Genomics, June 2008
DOI 10.1186/1471-2350-9-51
Pubmed ID
Authors

Hong Zhang, Margaux A Morrison, Andy DeWan, Scott Adams, Michael Andreoli, Nancy Huynh, Maureen Regan, Alison Brown, Joan W Miller, Ivana K Kim, Josephine Hoh, Margaret M DeAngelis

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 30%
Researcher 6 14%
Student > Bachelor 4 9%
Student > Master 3 7%
Student > Postgraduate 2 5%
Other 4 9%
Unknown 11 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 26%
Biochemistry, Genetics and Molecular Biology 6 14%
Medicine and Dentistry 6 14%
Neuroscience 2 5%
Psychology 1 2%
Other 2 5%
Unknown 15 35%
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 05 May 2011.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#637
of 2,444 outputs
Outputs of similar age
#33,928
of 96,905 outputs
Outputs of similar age from BMC Medical Genomics
#5
of 14 outputs
Altmetric has tracked 25,374,647 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 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. 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 96,905 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.