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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 Microbiology Resource Announcements, June 2016
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  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
52 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
Microbiology Resource 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 8 15%
Student > Bachelor 6 12%
Student > Doctoral Student 5 10%
Student > Master 3 6%
Other 5 10%
Unknown 12 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 37%
Biochemistry, Genetics and Molecular Biology 6 12%
Environmental Science 4 8%
Immunology and Microbiology 3 6%
Chemical Engineering 2 4%
Other 3 6%
Unknown 15 29%
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 12 July 2016.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from Microbiology Resource Announcements
#971
of 5,457 outputs
Outputs of similar age
#137,646
of 370,144 outputs
Outputs of similar age from Microbiology Resource Announcements
#19
of 173 outputs
Altmetric has tracked 25,837,817 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 5,457 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 74% 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 370,144 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.