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Genome sequence of the model medicinal mushroom Ganoderma lucidum

Overview of attention for article published in Nature Communications, June 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
17 X users
facebook
13 Facebook pages
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
447 Dimensions

Readers on

mendeley
360 Mendeley
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Title
Genome sequence of the model medicinal mushroom Ganoderma lucidum
Published in
Nature Communications, June 2012
DOI 10.1038/ncomms1923
Pubmed ID
Authors

Shilin Chen, Jiang Xu, Chang Liu, Yingjie Zhu, David R. Nelson, Shiguo Zhou, Chunfang Li, Lizhi Wang, Xu Guo, Yongzhen Sun, Hongmei Luo, Ying Li, Jingyuan Song, Bernard Henrissat, Anthony Levasseur, Jun Qian, Jianqin Li, Xiang Luo, Linchun Shi, Liu He, Li Xiang, Xiaolan Xu, Yunyun Niu, Qiushi Li, Mira V. Han, Haixia Yan, Jin Zhang, Haimei Chen, Aiping Lv, Zhen Wang, Mingzhu Liu, David C. Schwartz, Chao Sun

Abstract

Ganoderma lucidum is a widely used medicinal macrofungus in traditional Chinese medicine that creates a diverse set of bioactive compounds. Here we report its 43.3-Mb genome, encoding 16,113 predicted genes, obtained using next-generation sequencing and optical mapping approaches. The sequence analysis reveals an impressive array of genes encoding cytochrome P450s (CYPs), transporters and regulatory proteins that cooperate in secondary metabolism. The genome also encodes one of the richest sets of wood degradation enzymes among all of the sequenced basidiomycetes. In all, 24 physical CYP gene clusters are identified. Moreover, 78 CYP genes are coexpressed with lanosterol synthase, and 16 of these show high similarity to fungal CYPs that specifically hydroxylate testosterone, suggesting their possible roles in triterpenoid biosynthesis. The elucidation of the G. lucidum genome makes this organism a potential model system for the study of secondary metabolic pathways and their regulation in medicinal fungi.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 360 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 2%
Taiwan 2 <1%
Netherlands 1 <1%
Italy 1 <1%
Germany 1 <1%
India 1 <1%
Canada 1 <1%
Peru 1 <1%
Malaysia 1 <1%
Other 4 1%
Unknown 340 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 88 24%
Student > Ph. D. Student 70 19%
Student > Master 50 14%
Student > Bachelor 21 6%
Professor 14 4%
Other 55 15%
Unknown 62 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 166 46%
Biochemistry, Genetics and Molecular Biology 57 16%
Chemistry 9 3%
Medicine and Dentistry 8 2%
Environmental Science 8 2%
Other 39 11%
Unknown 73 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 13 February 2024.
All research outputs
#1,342,442
of 26,017,215 outputs
Outputs from Nature Communications
#20,256
of 58,133 outputs
Outputs of similar age
#7,313
of 181,410 outputs
Outputs of similar age from Nature Communications
#23
of 153 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,133 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one has gotten more attention than average, scoring higher than 65% 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 181,410 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 95% of its contemporaries.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.