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ENVirT: inference of ecological characteristics of viruses from metagenomic data

Overview of attention for article published in BMC Bioinformatics, February 2019
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About this Attention Score

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

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
33 Mendeley
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Title
ENVirT: inference of ecological characteristics of viruses from metagenomic data
Published in
BMC Bioinformatics, February 2019
DOI 10.1186/s12859-018-2398-5
Pubmed ID
Authors

Duleepa Jayasundara, Damayanthi Herath, Damith Senanayake, Isaam Saeed, Cheng-Yu Yang, Yuan Sun, Bill C. Chang, Sen-Lin Tang, Saman K. Halgamuge

Twitter Demographics

The data shown below were collected from the profiles of 5 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Bachelor 5 15%
Lecturer 3 9%
Researcher 3 9%
Professor > Associate Professor 3 9%
Other 4 12%
Unknown 8 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 18%
Biochemistry, Genetics and Molecular Biology 5 15%
Computer Science 4 12%
Environmental Science 3 9%
Engineering 2 6%
Other 2 6%
Unknown 11 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 March 2019.
All research outputs
#8,327,292
of 14,443,874 outputs
Outputs from BMC Bioinformatics
#3,250
of 5,402 outputs
Outputs of similar age
#165,120
of 325,002 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 41 outputs
Altmetric has tracked 14,443,874 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,402 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 36th percentile – i.e., 36% 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 325,002 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.