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Individual differences and the characterization of animal models of psychopathology: a strong challenge and a good opportunity

Overview of attention for article published in Frontiers in Pharmacology, January 2013
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Title
Individual differences and the characterization of animal models of psychopathology: a strong challenge and a good opportunity
Published in
Frontiers in Pharmacology, January 2013
DOI 10.3389/fphar.2013.00137
Pubmed ID
Authors

Antonio Armario, Roser Nadal

Abstract

Despite the development of valuable new techniques (i.e., genetics, neuroimage) for the study of the neurobiological substrate of psychiatric diseases, there are strong limitations in the information that can be gathered from human studies. It is thus critical to develop appropriate animal models of psychiatric diseases to characterize their putative biological bases and the development of new therapeutic strategies. The present review tries to offer a general perspective and several examples of how individual differences in animals can contribute to explain differential susceptibility to develop behavioral alterations, but also emphasizes methodological problems that can lead to inappropriate or over-simplistic interpretations. A critical analysis of the approaches currently used could contribute to obtain more reliable data and allow taking full advantage of new and sophisticated technologies. The discussion is mainly focused on anxiety-like and to a lower extent on depression-like behavior in rodents.

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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
Italy 1 1%
Unknown 73 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 26%
Researcher 10 13%
Student > Master 9 12%
Student > Bachelor 7 9%
Professor > Associate Professor 6 8%
Other 17 22%
Unknown 7 9%
Readers by discipline Count As %
Neuroscience 21 28%
Agricultural and Biological Sciences 17 22%
Psychology 9 12%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Biochemistry, Genetics and Molecular Biology 4 5%
Other 9 12%
Unknown 11 14%
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 17 November 2013.
All research outputs
#17,702,587
of 22,729,647 outputs
Outputs from Frontiers in Pharmacology
#6,994
of 15,963 outputs
Outputs of similar age
#210,222
of 280,769 outputs
Outputs of similar age from Frontiers in Pharmacology
#76
of 167 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,963 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 280,769 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 167 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.