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Genome sequencing and analysis of the paclitaxel-producing endophytic fungus Penicillium aurantiogriseum NRRL 62431

Overview of attention for article published in BMC Genomics, January 2014
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Mentioned by

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3 X users

Citations

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119 Dimensions

Readers on

mendeley
169 Mendeley
Title
Genome sequencing and analysis of the paclitaxel-producing endophytic fungus Penicillium aurantiogriseum NRRL 62431
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-69
Pubmed ID
Authors

Yanfang Yang, Hainan Zhao, Roberto A Barrero, Baohong Zhang, Guiling Sun, Iain W Wilson, Fuliang Xie, Kevin D Walker, Joshua W Parks, Robert Bruce, Guangwu Guo, Li Chen, Yong Zhang, Xin Huang, Qi Tang, Hongwei Liu, Matthew I Bellgard, Deyou Qiu, Jinsheng Lai, Angela Hoffman

Abstract

Paclitaxel (Taxol™) is an important anticancer drug with a unique mode of action. The biosynthesis of paclitaxel had been considered restricted to the Taxus species until it was discovered in Taxomyces andreanae, an endophytic fungus of T. brevifolia. Subsequently, paclitaxel was found in hazel (Corylus avellana L.) and in several other endophytic fungi. The distribution of paclitaxel in plants and endophytic fungi and the reported sequence homology of key genes in paclitaxel biosynthesis between plant and fungi species raises the question about whether the origin of this pathway in these two physically associated groups could have been facilitated by horizontal gene transfer.

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 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 2 1%
United States 2 1%
Australia 1 <1%
Canada 1 <1%
India 1 <1%
China 1 <1%
Slovakia 1 <1%
Unknown 160 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 25%
Researcher 20 12%
Student > Bachelor 20 12%
Student > Master 17 10%
Student > Doctoral Student 8 5%
Other 29 17%
Unknown 33 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 35%
Biochemistry, Genetics and Molecular Biology 33 20%
Chemistry 11 7%
Immunology and Microbiology 6 4%
Engineering 4 2%
Other 14 8%
Unknown 42 25%
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 07 February 2014.
All research outputs
#14,223,188
of 23,577,654 outputs
Outputs from BMC Genomics
#5,423
of 10,787 outputs
Outputs of similar age
#170,494
of 310,260 outputs
Outputs of similar age from BMC Genomics
#226
of 433 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 49th percentile – i.e., 49% 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 310,260 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 433 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.