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Endocannabinoids

Overview of attention for book
Attention for Chapter 5: Genetic Manipulation of the Endocannabinoid System.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
2 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user
video
1 video uploader

Citations

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14 Dimensions

Readers on

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41 Mendeley
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Chapter title
Genetic Manipulation of the Endocannabinoid System.
Chapter number 5
Book title
Endocannabinoids
Published in
Handbook of experimental pharmacology, January 2015
DOI 10.1007/978-3-319-20825-1_5
Pubmed ID
Book ISBNs
978-3-31-920824-4, 978-3-31-920825-1
Authors

Zimmer, Andreas, Andreas Zimmer

Editors

Roger G. Pertwee

Abstract

The physiological and pathophysiological functions of the endocannabinoid system have been studied extensively using transgenic and targeted knockout mouse models. The first gene deletions of the cannabinoid CB1 receptor were described in the late 1990s, soon followed by CB2 and FAAH mutations in early 2000. These mouse models helped to elucidate the fundamental role of endocannabinoids as retrograde transmitters in the CNS and in the discovery of many unexpected endocannabinoid functions, for example, in the skin, bone and liver. We now have knockout mouse models for almost every receptor and enzyme of the endocannabinoid system. Conditional mutant mice were mostly developed for the CB1 receptor, which is widely expressed on many different neurons, astrocytes and microglia, as well as on many cells outside the CNS. These mouse strains include "floxed" CB1 alleles and mice with a conditional re-expression of CB1. The availability of these mice made it possible to decipher the function of CB1 in specific neuronal circuits and cell populations or to discriminate between central and peripheral effects. Many of the genetic mouse models were also used in combination with viral expression systems. The purpose of this review is to provide a comprehensive overview of the existing genetic models and to summarize some of the most important discoveries that were made with these animals.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 2%
France 1 2%
Unknown 39 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 29%
Student > Master 8 20%
Student > Bachelor 5 12%
Other 4 10%
Researcher 4 10%
Other 3 7%
Unknown 5 12%
Readers by discipline Count As %
Neuroscience 9 22%
Agricultural and Biological Sciences 9 22%
Biochemistry, Genetics and Molecular Biology 5 12%
Medicine and Dentistry 5 12%
Nursing and Health Professions 3 7%
Other 1 2%
Unknown 9 22%

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 02 October 2018.
All research outputs
#7,029,918
of 13,589,098 outputs
Outputs from Handbook of experimental pharmacology
#195
of 431 outputs
Outputs of similar age
#88,975
of 248,184 outputs
Outputs of similar age from Handbook of experimental pharmacology
#2
of 7 outputs
Altmetric has tracked 13,589,098 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 431 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has gotten more attention than average, scoring higher than 54% 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 248,184 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 63% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.