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CANT-HYD: A Curated Database of Phylogeny-Derived Hidden Markov Models for Annotation of Marker Genes Involved in Hydrocarbon Degradation

Overview of attention for article published in Frontiers in Microbiology, January 2022
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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21 X users

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65 Mendeley
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Title
CANT-HYD: A Curated Database of Phylogeny-Derived Hidden Markov Models for Annotation of Marker Genes Involved in Hydrocarbon Degradation
Published in
Frontiers in Microbiology, January 2022
DOI 10.3389/fmicb.2021.764058
Pubmed ID
Authors

Varada Khot, Jackie Zorz, Daniel A. Gittins, Anirban Chakraborty, Emma Bell, María A. Bautista, Alexandre J. Paquette, Alyse K. Hawley, Breda Novotnik, Casey R. J. Hubert, Marc Strous, Srijak Bhatnagar

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X Demographics

X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 18%
Student > Ph. D. Student 11 17%
Student > Master 6 9%
Student > Doctoral Student 5 8%
Student > Bachelor 4 6%
Other 7 11%
Unknown 20 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 17%
Biochemistry, Genetics and Molecular Biology 10 15%
Environmental Science 7 11%
Earth and Planetary Sciences 4 6%
Immunology and Microbiology 4 6%
Other 6 9%
Unknown 23 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 27 January 2022.
All research outputs
#2,852,251
of 26,391,249 outputs
Outputs from Frontiers in Microbiology
#2,241
of 30,424 outputs
Outputs of similar age
#68,382
of 532,837 outputs
Outputs of similar age from Frontiers in Microbiology
#49
of 1,045 outputs
Altmetric has tracked 26,391,249 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 30,424 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 92% 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 532,837 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 87% of its contemporaries.
We're also able to compare this research output to 1,045 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.