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Segmental duplications in the silkworm genome

Overview of attention for article published in BMC Genomics, July 2013
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Title
Segmental duplications in the silkworm genome
Published in
BMC Genomics, July 2013
DOI 10.1186/1471-2164-14-521
Pubmed ID
Authors

Qian Zhao, Zhenglin Zhu, Masahiro Kasahara, Shinichi Morishita, Ze Zhang

Abstract

Segmental duplications (SDs) or low-copy repeats play important roles in both gene and genome evolution. SDs have been extensively investigated in many organisms, however, there is no information about SDs in the silkworm, Bombyx mori.Result: In this study, we identified and annotated the SDs in the silkworm genome. Our results suggested that SDs constitute ~1.4% of the silkworm genome sequence (>=1 kb in length and >=90% in the identity of sequence); the number is similar to that in Drosophila melanogaster but smaller than mammalian organisms. Almost half (42%) of the SD sequences are not assigned to chromosomes, indicating that the SDs are challenges for the assembling of genome sequences. We also provided experimental validation of large duplications using qPCR. The analysis of SD content indicated that the genes related to immunity, detoxification, reproduction, and environmental signal recognition are significantly enriched in the silkworm SDs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 34%
Student > Doctoral Student 4 14%
Professor > Associate Professor 3 10%
Student > Bachelor 2 7%
Professor 2 7%
Other 4 14%
Unknown 4 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 45%
Biochemistry, Genetics and Molecular Biology 7 24%
Computer Science 1 3%
Social Sciences 1 3%
Unknown 7 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 October 2014.
All research outputs
#16,742,766
of 25,405,598 outputs
Outputs from BMC Genomics
#6,579
of 11,255 outputs
Outputs of similar age
#127,921
of 209,844 outputs
Outputs of similar age from BMC Genomics
#100
of 182 outputs
Altmetric has tracked 25,405,598 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,255 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 209,844 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.