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Single cell transcriptomics of neighboring hyphae of Aspergillus niger

Overview of attention for article published in Genome Biology, August 2011
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6 X users

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Title
Single cell transcriptomics of neighboring hyphae of Aspergillus niger
Published in
Genome Biology, August 2011
DOI 10.1186/gb-2011-12-8-r71
Pubmed ID
Authors

Charissa de Bekker, Oskar Bruning, Martijs J Jonker, Timo M Breit, Han AB Wösten

Abstract

Single cell profiling was performed to assess differences in RNA accumulation in neighboring hyphae of the fungus Aspergillus niger. A protocol was developed to isolate and amplify RNA from single hyphae or parts thereof. Microarray analysis resulted in a present call for 4 to 7% of the A. niger genes, of which 12% showed heterogeneous RNA levels. These genes belonged to a wide range of gene categories.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Germany 1 <1%
Netherlands 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Iran, Islamic Republic of 1 <1%
United States 1 <1%
Unknown 94 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 26%
Researcher 22 22%
Student > Bachelor 11 11%
Professor > Associate Professor 8 8%
Student > Master 7 7%
Other 18 18%
Unknown 9 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 40%
Biochemistry, Genetics and Molecular Biology 22 22%
Environmental Science 4 4%
Engineering 4 4%
Immunology and Microbiology 4 4%
Other 13 13%
Unknown 14 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 March 2012.
All research outputs
#8,581,829
of 25,489,496 outputs
Outputs from Genome Biology
#3,498
of 4,480 outputs
Outputs of similar age
#46,906
of 130,779 outputs
Outputs of similar age from Genome Biology
#34
of 50 outputs
Altmetric has tracked 25,489,496 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,480 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% 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 130,779 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.