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Genome-based analysis of the nonhuman primate Macaca fascicularis as a model for drug safety assessment

Overview of attention for article published in Genome Research, August 2011
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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)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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1 news outlet
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6 X users

Citations

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126 Dimensions

Readers on

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134 Mendeley
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Title
Genome-based analysis of the nonhuman primate Macaca fascicularis as a model for drug safety assessment
Published in
Genome Research, August 2011
DOI 10.1101/gr.123117.111
Pubmed ID
Authors

Martin Ebeling, Erich Küng, Angela See, Clemens Broger, Guido Steiner, Marco Berrera, Tobias Heckel, Leonardo Iniguez, Thomas Albert, Roland Schmucki, Hermann Biller, Thomas Singer, Ulrich Certa

Abstract

The long-tailed macaque, also referred to as cynomolgus monkey (Macaca fascicularis), is one of the most important nonhuman primate animal models in basic and applied biomedical research. To improve the predictive power of primate experiments for humans, we determined the genome sequence of a Macaca fascicularis female of Mauritian origin using a whole-genome shotgun sequencing approach. We applied a template switch strategy that uses either the rhesus or the human genome to assemble sequence reads. The sixfold sequence coverage of the draft genome sequence enabled discovery of about 2.1 million potential single-nucleotide polymorphisms based on occurrence of a dimorphic nucleotide at a given position in the genome sequence. Homology-based annotation allowed us to identify 17,387 orthologs of human protein-coding genes in the M. fascicularis draft genome, and the predicted transcripts enabled the design of a M. fascicularis-specific gene expression microarray. Using liver samples from 36 individuals of different geographic origin we identified 718 genes with highly variable expression in liver, whereas the majority of the transcriptome shows relatively stable and comparable expression. Knowledge of the M. fascicularis draft genome is an important contribution to both the use of this animal in disease models and the safety assessment of drugs and their metabolites. In particular, this information allows high-resolution genotyping and microarray-based gene-expression profiling for animal stratification, thereby allowing the use of well-characterized animals for safety testing. Finally, the genome sequence presented here is a significant contribution to the global "3R" animal welfare initiative, which has the goal to reduce, refine, and replace animal experiments.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Malaysia 1 <1%
Denmark 1 <1%
Unknown 129 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 29%
Student > Ph. D. Student 31 23%
Student > Master 10 7%
Student > Doctoral Student 7 5%
Other 7 5%
Other 20 15%
Unknown 20 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 41%
Biochemistry, Genetics and Molecular Biology 21 16%
Medicine and Dentistry 8 6%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Immunology and Microbiology 4 3%
Other 19 14%
Unknown 22 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 March 2018.
All research outputs
#2,655,857
of 25,374,647 outputs
Outputs from Genome Research
#1,302
of 4,425 outputs
Outputs of similar age
#12,914
of 134,463 outputs
Outputs of similar age from Genome Research
#22
of 64 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has gotten more attention than average, scoring higher than 70% 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 134,463 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 64 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 60% of its contemporaries.