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Combining laser microdissection and RNA-seq to chart the transcriptional landscape of fungal development

Overview of attention for article published in BMC Genomics, September 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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
81 Mendeley
citeulike
4 CiteULike
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Title
Combining laser microdissection and RNA-seq to chart the transcriptional landscape of fungal development
Published in
BMC Genomics, September 2012
DOI 10.1186/1471-2164-13-511
Pubmed ID
Authors

Ines Teichert, Gabriele Wolff, Ulrich Kück, Minou Nowrousian

Abstract

During sexual development, filamentous ascomycetes form complex, three-dimensional fruiting bodies for the protection and dispersal of sexual spores. Fruiting bodies contain a number of cell types not found in vegetative mycelium, and these morphological differences are thought to be mediated by changes in gene expression. However, little is known about the spatial distribution of gene expression in fungal development. Here, we used laser microdissection (LM) and RNA-seq to determine gene expression patterns in young fruiting bodies (protoperithecia) and non-reproductive mycelia of the ascomycete Sordaria macrospora.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
Canada 2 2%
United Kingdom 1 1%
Spain 1 1%
Mexico 1 1%
Unknown 72 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 30%
Student > Ph. D. Student 19 23%
Student > Doctoral Student 7 9%
Other 7 9%
Student > Postgraduate 3 4%
Other 11 14%
Unknown 10 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 49%
Biochemistry, Genetics and Molecular Biology 24 30%
Immunology and Microbiology 2 2%
Earth and Planetary Sciences 1 1%
Medicine and Dentistry 1 1%
Other 0 0%
Unknown 13 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 01 October 2012.
All research outputs
#2,754,318
of 22,679,690 outputs
Outputs from BMC Genomics
#979
of 10,615 outputs
Outputs of similar age
#19,714
of 171,822 outputs
Outputs of similar age from BMC Genomics
#10
of 119 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,615 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 90% 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 171,822 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.