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Comparative analysis of the silk gland transcriptomes between the domestic and wild silkworms

Overview of attention for article published in BMC Genomics, February 2015
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Title
Comparative analysis of the silk gland transcriptomes between the domestic and wild silkworms
Published in
BMC Genomics, February 2015
DOI 10.1186/s12864-015-1287-9
Pubmed ID
Authors

Shou-Min Fang, Bi-Li Hu, Qiu-Zhong Zhou, Quan-You Yu, Ze Zhang

Abstract

Bombyx mori was domesticated from the Chinese wild silkworm, Bombyx mandarina. Wild and domestic silkworms are good models in which to investigate genes related to silk protein synthesis that may be differentially expressed in silk glands, because their silk productions are very different. Here we used the mRNA deep sequencing (RNA-seq) approach to identify the differentially expressed genes (DEGs) in the transcriptomes of the median/posterior silk glands of two domestic and two wild silkworms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Student > Master 7 15%
Researcher 6 13%
Student > Doctoral Student 6 13%
Student > Bachelor 5 10%
Other 12 25%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 44%
Biochemistry, Genetics and Molecular Biology 11 23%
Engineering 4 8%
Unspecified 3 6%
Chemistry 2 4%
Other 2 4%
Unknown 5 10%
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 06 July 2018.
All research outputs
#13,661,887
of 23,577,654 outputs
Outputs from BMC Genomics
#4,891
of 10,777 outputs
Outputs of similar age
#173,334
of 355,515 outputs
Outputs of similar age from BMC Genomics
#109
of 241 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,777 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 52% 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 355,515 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 50% of its contemporaries.
We're also able to compare this research output to 241 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 53% of its contemporaries.