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Xenbase: Facilitating the Use of Xenopus to Model Human Disease

Overview of attention for article published in Frontiers in Physiology, February 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
34 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Readers on

mendeley
104 Mendeley
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Title
Xenbase: Facilitating the Use of Xenopus to Model Human Disease
Published in
Frontiers in Physiology, February 2019
DOI 10.3389/fphys.2019.00154
Pubmed ID
Authors

Mardi J. Nenni, Malcolm E. Fisher, Christina James-Zorn, Troy J. Pells, Virgilio Ponferrada, Stanley Chu, Joshua D. Fortriede, Kevin A. Burns, Ying Wang, Vaneet S. Lotay, Dong Zhou Wang, Erik Segerdell, Praneet Chaturvedi, Kamran Karimi, Peter D. Vize, Aaron M. Zorn

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 34 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 16%
Student > Bachelor 13 13%
Researcher 12 12%
Student > Master 6 6%
Student > Doctoral Student 5 5%
Other 8 8%
Unknown 43 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 25%
Agricultural and Biological Sciences 12 12%
Medicine and Dentistry 7 7%
Computer Science 4 4%
Chemistry 3 3%
Other 7 7%
Unknown 45 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 12 March 2024.
All research outputs
#1,235,609
of 26,591,670 outputs
Outputs from Frontiers in Physiology
#674
of 15,908 outputs
Outputs of similar age
#27,745
of 370,612 outputs
Outputs of similar age from Frontiers in Physiology
#31
of 434 outputs
Altmetric has tracked 26,591,670 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,908 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done particularly well, scoring higher than 95% 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 370,612 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 434 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 92% of its contemporaries.