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Standardizing a Non-Lethal Method for Characterizing the Reproductive Status and Larval Development of Freshwater Mussels (Bivalvia: Unionida).

Overview of attention for article published in Journal of Visualized Experiments, October 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
4 X users
facebook
1 Facebook page
video
1 YouTube creator

Readers on

mendeley
23 Mendeley
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Title
Standardizing a Non-Lethal Method for Characterizing the Reproductive Status and Larval Development of Freshwater Mussels (Bivalvia: Unionida).
Published in
Journal of Visualized Experiments, October 2019
DOI 10.3791/60244
Pubmed ID
Authors

Caitlin E Beaver, Susan R Geda, Nathan A Johnson

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 30%
Student > Master 4 17%
Student > Ph. D. Student 3 13%
Other 1 4%
Professor > Associate Professor 1 4%
Other 0 0%
Unknown 7 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 35%
Environmental Science 3 13%
Biochemistry, Genetics and Molecular Biology 2 9%
Computer Science 1 4%
Earth and Planetary Sciences 1 4%
Other 0 0%
Unknown 8 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 August 2022.
All research outputs
#13,082,883
of 23,056,273 outputs
Outputs from Journal of Visualized Experiments
#2,875
of 10,350 outputs
Outputs of similar age
#162,638
of 349,679 outputs
Outputs of similar age from Journal of Visualized Experiments
#72
of 322 outputs
Altmetric has tracked 23,056,273 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,350 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 71% 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 349,679 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 52% of its contemporaries.
We're also able to compare this research output to 322 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.