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A gene mapping bottleneck in the translational route from zebrafish to human

Overview of attention for article published in Frontiers in Genetics, January 2015
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
A gene mapping bottleneck in the translational route from zebrafish to human
Published in
Frontiers in Genetics, January 2015
DOI 10.3389/fgene.2014.00470
Pubmed ID
Authors

Niek de Klein, Mark Ibberson, Isaac Crespo, Sophie Rodius, Francisco Azuaje

Abstract

Among a diversity of animal models of disease, the zebrafish is a promising model organism for enabling novel translational biomedical research. To fully achieve the latter, a key requirement is to match molecular readouts measured in zebrafish with information relevant to health and disease in humans. A fundamental step in this direction is to accurately map gene sequences from zebrafish to humans. Despite significant progress in genome annotation, this remains an intricate and time-consuming challenge. Here we discuss major obstacles that we had to overcome to systematically map genes from zebrafish to human. We identified important disparities, as well as partial agreements, between five public zebrafish-to-human homology resources. There is still a need for standardized, comprehensive genomic mappings between zebrafish and humans. Without this, efforts to use zebrafish as a powerful translational research tool will be stalled.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 35%
Student > Master 3 15%
Professor > Associate Professor 2 10%
Researcher 2 10%
Professor 1 5%
Other 2 10%
Unknown 3 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 50%
Biochemistry, Genetics and Molecular Biology 3 15%
Unspecified 1 5%
Computer Science 1 5%
Design 1 5%
Other 0 0%
Unknown 4 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 July 2016.
All research outputs
#7,117,410
of 22,776,824 outputs
Outputs from Frontiers in Genetics
#2,221
of 11,759 outputs
Outputs of similar age
#99,525
of 352,438 outputs
Outputs of similar age from Frontiers in Genetics
#47
of 124 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 11,759 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 80% 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 352,438 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.