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The Promises and Pitfalls of Machine Learning for Detecting Viruses in Aquatic Metagenomes

Overview of attention for article published in Frontiers in Microbiology, April 2019
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
23 X users
facebook
1 Facebook page

Readers on

mendeley
92 Mendeley
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Title
The Promises and Pitfalls of Machine Learning for Detecting Viruses in Aquatic Metagenomes
Published in
Frontiers in Microbiology, April 2019
DOI 10.3389/fmicb.2019.00806
Pubmed ID
Authors

Alise J. Ponsero, Bonnie L. Hurwitz

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 21%
Student > Ph. D. Student 13 14%
Student > Master 13 14%
Student > Bachelor 7 8%
Student > Doctoral Student 6 7%
Other 8 9%
Unknown 26 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 22%
Biochemistry, Genetics and Molecular Biology 12 13%
Environmental Science 7 8%
Computer Science 5 5%
Immunology and Microbiology 4 4%
Other 14 15%
Unknown 30 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 16 June 2020.
All research outputs
#3,024,179
of 25,813,008 outputs
Outputs from Frontiers in Microbiology
#2,407
of 29,832 outputs
Outputs of similar age
#59,825
of 349,008 outputs
Outputs of similar age from Frontiers in Microbiology
#84
of 645 outputs
Altmetric has tracked 25,813,008 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,832 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 91% 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 349,008 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 82% of its contemporaries.
We're also able to compare this research output to 645 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.