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Comparative methylomics between domesticated and wild silkworms implies possible epigenetic influences on silkworm domestication

Overview of attention for article published in BMC Genomics, September 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

twitter
7 tweeters

Citations

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37 Dimensions

Readers on

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54 Mendeley
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Title
Comparative methylomics between domesticated and wild silkworms implies possible epigenetic influences on silkworm domestication
Published in
BMC Genomics, September 2013
DOI 10.1186/1471-2164-14-646
Pubmed ID
Authors

Hui Xiang, Xin Li, Fangyin Dai, Xun Xu, Anjiang Tan, Lei Chen, Guojie Zhang, Yun Ding, Qiye Li, Jinmin Lian, Andrew Willden, Qiuhong Guo, Qingyou Xia, Jun Wang, Wen Wang

Abstract

In contrast to wild species, which have typically evolved phenotypes over long periods of natural selection, domesticates rapidly gained human-preferred agronomic traits in a relatively short-time frame via artificial selection. Under domesticated conditions, many traits can be observed that cannot only be due to environmental alteration. In the case of silkworms, aside from genetic divergence, whether epigenetic divergence played a role in domestication is an unanswered question. The silkworm is still an enigma in that it has two DNA methyltransferases (DNMT1 and DNMT2) but their functionality is unknown. Even in particular the functionality of the widely distributed DNMT1 remains unknown in insects in general.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Researcher 9 17%
Student > Master 9 17%
Student > Bachelor 8 15%
Professor 3 6%
Other 8 15%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 46%
Biochemistry, Genetics and Molecular Biology 13 24%
Environmental Science 2 4%
Chemical Engineering 1 2%
Computer Science 1 2%
Other 6 11%
Unknown 6 11%

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 03 October 2013.
All research outputs
#4,937,150
of 15,799,426 outputs
Outputs from BMC Genomics
#2,778
of 8,818 outputs
Outputs of similar age
#52,538
of 169,127 outputs
Outputs of similar age from BMC Genomics
#1
of 2 outputs
Altmetric has tracked 15,799,426 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 8,818 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 67% 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 169,127 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 68% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them