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Using animal models for the studies of schizophrenia and depression: The value of translational models for treatment and prevention

Overview of attention for article published in Frontiers in Behavioral Neuroscience, August 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
17 X users

Readers on

mendeley
63 Mendeley
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Title
Using animal models for the studies of schizophrenia and depression: The value of translational models for treatment and prevention
Published in
Frontiers in Behavioral Neuroscience, August 2022
DOI 10.3389/fnbeh.2022.935320
Pubmed ID
Authors

Daniela L. Uliana, Xiyu Zhu, Felipe V. Gomes, Anthony A. Grace

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 17%
Student > Master 5 8%
Student > Ph. D. Student 4 6%
Student > Bachelor 2 3%
Unspecified 2 3%
Other 9 14%
Unknown 30 48%
Readers by discipline Count As %
Medicine and Dentistry 10 16%
Neuroscience 6 10%
Psychology 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Immunology and Microbiology 2 3%
Other 5 8%
Unknown 35 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 14 October 2022.
All research outputs
#3,072,827
of 25,155,561 outputs
Outputs from Frontiers in Behavioral Neuroscience
#533
of 3,426 outputs
Outputs of similar age
#62,036
of 423,703 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#15
of 108 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,426 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 84% 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 423,703 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.