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Quantitation of all Four Gardnerella vaginalis Clades Detects Abnormal Vaginal Microbiota Characteristic of Bacterial Vaginosis More Accurately than Putative G. vaginalis Sialidase A Gene Count

Overview of attention for article published in Molecular Diagnosis & Therapy, February 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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2 X users
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1 patent
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1 research highlight platform

Citations

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41 Dimensions

Readers on

mendeley
71 Mendeley
Title
Quantitation of all Four Gardnerella vaginalis Clades Detects Abnormal Vaginal Microbiota Characteristic of Bacterial Vaginosis More Accurately than Putative G. vaginalis Sialidase A Gene Count
Published in
Molecular Diagnosis & Therapy, February 2019
DOI 10.1007/s40291-019-00382-5
Pubmed ID
Authors

Elena Shipitsyna, Anna Krysanova, Guzel Khayrullina, Kira Shalepo, Alevtina Savicheva, Alexander Guschin, Magnus Unemo

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 14%
Student > Master 9 13%
Researcher 7 10%
Student > Doctoral Student 7 10%
Other 7 10%
Other 15 21%
Unknown 16 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 20%
Medicine and Dentistry 13 18%
Immunology and Microbiology 9 13%
Agricultural and Biological Sciences 5 7%
Nursing and Health Professions 4 6%
Other 8 11%
Unknown 18 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 February 2022.
All research outputs
#6,226,372
of 23,049,027 outputs
Outputs from Molecular Diagnosis & Therapy
#71
of 386 outputs
Outputs of similar age
#131,320
of 437,041 outputs
Outputs of similar age from Molecular Diagnosis & Therapy
#1
of 9 outputs
Altmetric has tracked 23,049,027 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 386 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 81% 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 437,041 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 69% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them