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Towards translational rodent models of depression

Overview of attention for article published in Cell & Tissue Research, March 2013
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Title
Towards translational rodent models of depression
Published in
Cell & Tissue Research, March 2013
DOI 10.1007/s00441-013-1587-9
Pubmed ID
Authors

Olivia F. O’Leary, John F. Cryan

Abstract

Rodent models of depression have been developed in an effort to identify novel antidepressant compounds and to further our understanding of the pathophysiology of depression. Various rodent models of depression and antidepressant-like behaviour are currently used but, clearly, none of these current models fully recapitulate all features of depression. Moreover, these models have not resulted in the development of novel non-monoaminergic-based antidepressants with clinical efficacy. Thus, a refinement of the current models of depression is required. The present review outlines the most commonly used models of depression and antidepressant drug-like activity and suggests several factors that should be considered when refining these models.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 <1%
Canada 1 <1%
South Africa 1 <1%
Unknown 110 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 19%
Researcher 17 15%
Student > Bachelor 15 13%
Student > Master 9 8%
Student > Doctoral Student 6 5%
Other 20 18%
Unknown 24 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 20%
Neuroscience 22 19%
Medicine and Dentistry 13 12%
Psychology 9 8%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 11 10%
Unknown 31 27%

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 March 2013.
All research outputs
#18,332,122
of 22,701,287 outputs
Outputs from Cell & Tissue Research
#1,651
of 2,224 outputs
Outputs of similar age
#150,152
of 197,767 outputs
Outputs of similar age from Cell & Tissue Research
#25
of 48 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,224 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 13th percentile – i.e., 13% 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 197,767 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.