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Microbial high throughput phenomics: The potential of an irreplaceable omics

Overview of attention for article published in Computational and Structural Biotechnology Journal, September 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Readers on

mendeley
97 Mendeley
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Article details
Title
Microbial high throughput phenomics: The potential of an irreplaceable omics
Published in
Computational and Structural Biotechnology Journal, September 2020
DOI 10.1016/j.csbj.2020.08.010
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 22 23%
Researcher 10 10%
Student > Master 8 8%
Student > Postgraduate 6 6%
Student > Bachelor 4 4%
Other 9 9%
Unknown 38 39%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 18 19%
Biochemistry, Genetics and Molecular Biology 16 16%
Immunology and Microbiology 6 6%
Veterinary Science and Veterinary Medicine 2 2%
Chemistry 2 2%
Other 11 11%
Unknown 42 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 06 January 2021.
All research outputs
#6,147,469
of 32,684,864 outputs
Outputs from Computational and Structural Biotechnology Journal
#493
of 3,247 outputs
Outputs of similar age
#111,623
of 445,448 outputs
Outputs of similar age from Computational and Structural Biotechnology Journal
#17
of 83 outputs
Altmetric has tracked 32,684,864 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. 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 445,448 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 74% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.