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HGCS: an online tool for prioritizing disease-causing gene variants by biological distance

Overview of attention for article published in BMC Genomics, April 2014
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
7 X users

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
78 Mendeley
citeulike
1 CiteULike
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Title
HGCS: an online tool for prioritizing disease-causing gene variants by biological distance
Published in
BMC Genomics, April 2014
DOI 10.1186/1471-2164-15-256
Pubmed ID
Authors

Yuval Itan, Mark Mazel, Benjamin Mazel, Avinash Abhyankar, Patrick Nitschke, Lluis Quintana-Murci, Stephanie Boisson-Dupuis, Bertrand Boisson, Laurent Abel, Shen-Ying Zhang, Jean-Laurent Casanova

Abstract

Identifying the genotypes underlying human disease phenotypes is a fundamental step in human genetics and medicine. High-throughput genomic technologies provide thousands of genetic variants per individual. The causal genes of a specific phenotype are usually expected to be functionally close to each other. According to this hypothesis, candidate genes are picked from high-throughput data on the basis of their biological proximity to core genes - genes already known to be responsible for the phenotype. There is currently no effective gene-centric online interface for this purpose.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
United States 1 1%
Slovenia 1 1%
Unknown 75 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 22%
Researcher 16 21%
Student > Bachelor 11 14%
Student > Ph. D. Student 10 13%
Other 5 6%
Other 8 10%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 23%
Biochemistry, Genetics and Molecular Biology 17 22%
Medicine and Dentistry 12 15%
Computer Science 9 12%
Immunology and Microbiology 3 4%
Other 5 6%
Unknown 14 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 26 May 2021.
All research outputs
#1,690,109
of 25,374,917 outputs
Outputs from BMC Genomics
#333
of 11,244 outputs
Outputs of similar age
#16,689
of 238,627 outputs
Outputs of similar age from BMC Genomics
#4
of 221 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 238,627 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 92% of its contemporaries.
We're also able to compare this research output to 221 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 98% of its contemporaries.