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Can the silkworm (Bombyx mori) be used as a human disease model?

Overview of attention for article published in Drug Discoveries & Therapeutics, February 2016
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Title
Can the silkworm (Bombyx mori) be used as a human disease model?
Published in
Drug Discoveries & Therapeutics, February 2016
DOI 10.5582/ddt.2016.01011
Pubmed ID
Authors

Hiroko Tabunoki, Hidemasa Bono, Katsuhiko Ito, Takeshi Yokoyama

Abstract

Bombyx mori (silkworm) is the most famous lepidopteran in Japan. B. mori has long been used in the silk industry and also as a model insect for agricultural research. In recent years, B. mori has attracted interest in its potential for use in pathological analysis of model animals. For example, the human macular carotenoid transporter was discovered using information of B. mori carotenoid transporter derived from yellow-cocoon strain. The B. mori carotenoid transport system is useful in human studies. To develop a human disease model, we characterized the human homologs of B. mori, and by constructing KAIKO functional annotation pipeline, and to analyze gene expression profile of a unique B. mori mutant strain using microarray analysis. As a result, we identified a novel molecular network involved in Parkinson's disease. Here we describe the potential use of a spontaneous mutant silkworm strain as a human disease model. We also summarize recent progress in the application of genomic information for annotation of human homologs in B. mori. The B. mori mutant will provide a clue to pathological mechanisms, and the findings will be helpful for the development of therapies and for medical drug discovery.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Student > Master 6 14%
Student > Bachelor 6 14%
Researcher 5 11%
Student > Doctoral Student 1 2%
Other 5 11%
Unknown 13 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 23%
Biochemistry, Genetics and Molecular Biology 9 20%
Pharmacology, Toxicology and Pharmaceutical Science 4 9%
Neuroscience 3 7%
Medicine and Dentistry 3 7%
Other 2 5%
Unknown 13 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 July 2016.
All research outputs
#14,915,133
of 25,374,917 outputs
Outputs from Drug Discoveries & Therapeutics
#86
of 295 outputs
Outputs of similar age
#201,304
of 405,813 outputs
Outputs of similar age from Drug Discoveries & Therapeutics
#6
of 21 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 295 research outputs from this source. They receive a mean Attention Score of 3.5. 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 405,813 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 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 71% of its contemporaries.