↓ Skip to main content

Comparative transcriptome analysis of microsclerotia development in Nomuraea rileyi

Overview of attention for article published in BMC Genomics, June 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
24 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Comparative transcriptome analysis of microsclerotia development in Nomuraea rileyi
Published in
BMC Genomics, June 2013
DOI 10.1186/1471-2164-14-411
Pubmed ID
Authors

Zhangyong Song, Youping Yin, Shasha Jiang, Juanjuan Liu, Huan Chen, Zhongkang Wang

Abstract

Nomuraea rileyi is used as an environmental-friendly biopesticide. However, mass production and commercialization of this organism are limited due to its fastidious growth and sporulation requirements. When cultured in amended medium, we found that N. rileyi could produce microsclerotia bodies, replacing conidiophores as the infectious agent. However, little is known about the genes involved in microsclerotia development. In the present study, the transcriptomes were analyzed using next-generation sequencing technology to find the genes involved in microsclerotia development.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 29%
Researcher 5 21%
Student > Bachelor 3 13%
Professor > Associate Professor 2 8%
Student > Doctoral Student 1 4%
Other 4 17%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 67%
Biochemistry, Genetics and Molecular Biology 2 8%
Environmental Science 2 8%
Immunology and Microbiology 1 4%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 2 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 June 2013.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Genomics
#9,455
of 10,793 outputs
Outputs of similar age
#176,065
of 199,328 outputs
Outputs of similar age from BMC Genomics
#108
of 117 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 199,328 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.