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Applications of Vertebrate Models in Studying Prostatitis and Inflammation-Associated Prostatic Diseases

Overview of attention for article published in Frontiers in Molecular Biosciences, July 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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3 X users

Readers on

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4 Mendeley
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Title
Applications of Vertebrate Models in Studying Prostatitis and Inflammation-Associated Prostatic Diseases
Published in
Frontiers in Molecular Biosciences, July 2022
DOI 10.3389/fmolb.2022.898871
Pubmed ID
Authors

Joosje Bleeker, Zhu A. Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Researcher 1 25%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 25%
Chemistry 1 25%
Medicine and Dentistry 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 July 2022.
All research outputs
#15,452,475
of 22,962,258 outputs
Outputs from Frontiers in Molecular Biosciences
#1,563
of 3,835 outputs
Outputs of similar age
#239,922
of 434,797 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#138
of 384 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,835 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 55% 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 434,797 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 384 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 61% of its contemporaries.