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Ribotype Classification of Clostridioides difficile Isolates Is Not Predictive of the Amino Acid Sequence Diversity of the Toxin Virulence Factors TcdA and TcdB

Overview of attention for article published in Frontiers in Microbiology, June 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Ribotype Classification of Clostridioides difficile Isolates Is Not Predictive of the Amino Acid Sequence Diversity of the Toxin Virulence Factors TcdA and TcdB
Published in
Frontiers in Microbiology, June 2020
DOI 10.3389/fmicb.2020.01310
Pubmed ID
Authors

Zhenghui Li, Kwok Lee, Urvi Rajyaguru, C. Hal Jones, Sandra Janezic, Maja Rupnik, Annaliesa S. Anderson, Paul Liberator

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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 16%
Researcher 4 11%
Student > Doctoral Student 4 11%
Student > Bachelor 2 5%
Professor 2 5%
Other 6 16%
Unknown 14 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 13%
Agricultural and Biological Sciences 4 11%
Immunology and Microbiology 4 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Business, Management and Accounting 1 3%
Other 5 13%
Unknown 18 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 November 2020.
All research outputs
#6,874,277
of 23,215,490 outputs
Outputs from Frontiers in Microbiology
#6,930
of 25,495 outputs
Outputs of similar age
#146,330
of 399,265 outputs
Outputs of similar age from Frontiers in Microbiology
#260
of 987 outputs
Altmetric has tracked 23,215,490 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 25,495 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 gotten more attention than average, scoring higher than 72% 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 399,265 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 62% of its contemporaries.
We're also able to compare this research output to 987 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 73% of its contemporaries.