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Use of Multiple Sequencing Technologies To Produce a High-Quality Genome of the Fungus Pseudogymnoascus destructans , the Causative Agent of Bat White-Nose Syndrome

Overview of attention for article published in Genome Announcements, June 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
47 Mendeley
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Title
Use of Multiple Sequencing Technologies To Produce a High-Quality Genome of the Fungus Pseudogymnoascus destructans , the Causative Agent of Bat White-Nose Syndrome
Published in
Genome Announcements, June 2016
DOI 10.1128/genomea.00445-16
Pubmed ID
Authors

Kevin P. Drees, Jonathan M. Palmer, Robert Sebra, Jeffrey M. Lorch, Cynthia Chen, Cheng-Cang Wu, Jin Woo Bok, Nancy P. Keller, David S. Blehert, Christina A. Cuomo, Daniel L. Lindner, Jeffrey T. Foster

Abstract

White-nose syndrome has recently emerged as one of the most devastating wildlife diseases recorded, causing widespread mortality in numerous bat species throughout eastern North America. Here, we present an improved reference genome of the fungal pathogen Pseudogymnoascus destructans for use in comparative genomic studies.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Student > Bachelor 6 13%
Researcher 6 13%
Student > Doctoral Student 5 11%
Student > Master 3 6%
Other 5 11%
Unknown 10 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 36%
Biochemistry, Genetics and Molecular Biology 6 13%
Environmental Science 3 6%
Immunology and Microbiology 3 6%
Chemical Engineering 2 4%
Other 3 6%
Unknown 13 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 July 2016.
All research outputs
#6,568,463
of 20,943,519 outputs
Outputs from Genome Announcements
#371
of 2,691 outputs
Outputs of similar age
#92,711
of 274,471 outputs
Outputs of similar age from Genome Announcements
#10
of 119 outputs
Altmetric has tracked 20,943,519 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,691 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 84% 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 274,471 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% 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 well, scoring higher than 89% of its contemporaries.