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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
patent
4 patents

Readers on

mendeley
14 Mendeley
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Article details
Title
Linkage of a Gene Causing Familial Focal Segmental Glomerulosclerosis to Chromosome 11 and Further Evidence of Genetic Heterogeneity
Published in
Genomics, June 1999
DOI 10.1006/geno.1999.5828
Pubmed ID
Authors
Abstract

Focal segmental glomerulosclerosis (FSGS) is a pathological entity characterized by proteinuria, nephrotic syndrome, and the progressive loss of renal function. It is a common cause of end-stage renal disease (ESRD). Recently, familial forms of FSGS have been identified. Two families with autosomal dominant FSGS were evaluated for linkage using 351 genomic microsatellite markers. Linkage, multipoint analysis, and tests for heterogeneity were performed on the subsequent results. In addition, three small families were used for haplotype analysis. Evidence for linkage was found on chromosome 11q21-q22 for the largest family, with a maximum lod score of 9.89. The gene is currently localized to an 18-cM area between flanking markers D11S2002 and D11S1986. The disease in a second family was not linked to this locus or to a previously described locus on chromosome 19q13. There were no shared haplotypes among affected individuals in the three smaller families. Our findings demonstrate that genetic heterogeneity is prevalent in FSGS in that at least three genes cause the FSGS phenotype. Identification of the genes that cause familial FSGS will provide valuable insights into the molecular basis and pathophysiology of FSGS.

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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 %
Unknown 14 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Other 1 7%
Lecturer 1 7%
Student > Bachelor 1 7%
Professor 1 7%
Student > Ph. D. Student 1 7%
Other 3 21%
Unknown 6 43%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 5 36%
Biochemistry, Genetics and Molecular Biology 1 7%
Agricultural and Biological Sciences 1 7%
Neuroscience 1 7%
Unknown 6 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 15 June 2021.
All research outputs
#4,917,020
of 28,841,988 outputs
Outputs from Genomics
#791
of 5,996 outputs
Outputs of similar age
#6,089
of 41,704 outputs
Outputs of similar age from Genomics
#9
of 67 outputs
Altmetric has tracked 28,841,988 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,996 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 86% 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 41,704 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.