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A Gene Map of the Best’s Vitelliform Macular Dystrophy Region in Chromosome 11q12–q13.1

Overview of attention for article published in Genome Research, January 1998
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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1 X user
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2 patents
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4 Wikipedia pages

Readers on

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14 Mendeley
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Article details
Title
A Gene Map of the Best’s Vitelliform Macular Dystrophy Region in Chromosome 11q12–q13.1
Published in
Genome Research, January 1998
DOI 10.1101/gr.8.1.48
Pubmed ID
Authors
Abstract

Best's vitelliform macular dystrophy is an autosomal dominant disorder of unknown causes. To identify the underlying gene defect the disease locus has been mapped to an approximately 1.4-Mb region on chromosome 11q12-q13.1. As a prerequisite for its positional cloning we have assembled a high coverage PAC contig of the candidate region. Here, we report the construction of a primary transcript map that places a total of 19 genes within the Best's disease region. This includes 14 transcripts of as yet unknown function obtained by EST mapping and/or cDNA selection and five genes mapped previously to the interval (CD5, PGA, DDB1, FEN1, and FTH1). Northern blot analyses were performed to determine the expression profiles in various human tissues. At least three genes appear to be good candidates for Best's disease based on their abundant expression in retina or retinal pigment epithelium. Additional information on the functional properties of these genes, as well as mutation analyses in Best's disease patients, have to await their further characterization. [The GenBank/EMBL accession numbers and details of the isolation, localization, and characterization of ESTs and selected cDNAs are available as online supplements in Online Tables 1-3 at http://www.genome.org.]

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X Demographics

X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Germany 2 14%
Unknown 12 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 3 21%
Student > Ph. D. Student 2 14%
Lecturer > Senior Lecturer 1 7%
Other 1 7%
Student > Doctoral Student 1 7%
Other 2 14%
Unknown 4 29%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 5 36%
Biochemistry, Genetics and Molecular Biology 4 29%
Chemistry 1 7%
Medicine and Dentistry 1 7%
Unknown 3 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 11 April 2017.
All research outputs
#6,410,237
of 29,693,933 outputs
Outputs from Genome Research
#2,463
of 4,745 outputs
Outputs of similar age
#10,132
of 107,073 outputs
Outputs of similar age from Genome Research
#1
of 11 outputs
Altmetric has tracked 29,693,933 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,745 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one is in the 47th percentile – i.e., 47% 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 107,073 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.