↓ Skip to main content

Cell-Type–Specific Transcriptional Profiles of the Dimorphic Pathogen Penicillium marneffei Reflect Distinct Reproductive, Morphological, and Environmental Demands

Overview of attention for article published in G3: Genes, Genomes, Genetics, November 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
31 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
Cell-Type–Specific Transcriptional Profiles of the Dimorphic Pathogen Penicillium marneffei Reflect Distinct Reproductive, Morphological, and Environmental Demands
Published in
G3: Genes, Genomes, Genetics, November 2013
DOI 10.1534/g3.113.006809
Pubmed ID
Authors

Shivani Pasricha, Michael Payne, David Canovas, Luke Pase, Nathamon Ngaosuwankul, Sally Beard, Alicia Oshlack, Gordon K Smyth, Sansanee C Chaiyaroj, Kylie J Boyce, Alex Andrianopoulos

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

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Researcher 6 19%
Student > Master 5 16%
Professor 2 6%
Student > Doctoral Student 1 3%
Other 3 10%
Unknown 7 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 32%
Biochemistry, Genetics and Molecular Biology 8 26%
Environmental Science 1 3%
Immunology and Microbiology 1 3%
Earth and Planetary Sciences 1 3%
Other 1 3%
Unknown 9 29%
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 18 April 2016.
All research outputs
#15,368,104
of 22,862,742 outputs
Outputs from G3: Genes, Genomes, Genetics
#2,341
of 3,158 outputs
Outputs of similar age
#131,434
of 213,759 outputs
Outputs of similar age from G3: Genes, Genomes, Genetics
#19
of 37 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 20th percentile – i.e., 20% 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 213,759 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.