↓ Skip to main content

Successful therapies for Alzheimer’s disease: why so many in animal models and none in humans?

Overview of attention for article published in Frontiers in Pharmacology, June 2014
Altmetric Badge

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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
3 news outlets
twitter
10 X users
facebook
3 Facebook pages

Citations

dimensions_citation
140 Dimensions

Readers on

mendeley
299 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Successful therapies for Alzheimer’s disease: why so many in animal models and none in humans?
Published in
Frontiers in Pharmacology, June 2014
DOI 10.3389/fphar.2014.00146
Pubmed ID
Authors

Rafael Franco, Angel Cedazo-Minguez

Abstract

Peering into the field of Alzheimer's disease (AD), the outsider realizes that many of the therapeutic strategies tested (in animal models) have been successful. One also may notice that there is a deficit in translational research, i.e., to take a successful drug in mice and translate it to the patient. Efforts are still focused on novel projects to expand the therapeutic arsenal to "cure mice." Scientific reasons behind so many successful strategies are not obvious. This article aims to review the current approaches to combat AD and to open a debate on common mechanisms of cognitive enhancement and neuroprotection. In short, either the rodent models are not good and should be discontinued, or we should extract the most useful information from those models. An example of a question that may be debated for the advancement in AD therapy is: In addition to reducing amyloid and tau pathologies, would it be necessary to boost synaptic strength and cognition? The debate could provide clues to turn around the current negative output in generating effective drugs for patients. Furthermore, discovery of biomarkers in human body fluids, and a clear distinction between cognitive enhancers and disease modifying strategies, should be instrumental for advancing in anti-AD drug discovery.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 299 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
Germany 1 <1%
Unknown 296 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 21%
Student > Bachelor 48 16%
Researcher 40 13%
Student > Master 35 12%
Student > Postgraduate 11 4%
Other 47 16%
Unknown 56 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 18%
Neuroscience 54 18%
Biochemistry, Genetics and Molecular Biology 31 10%
Medicine and Dentistry 23 8%
Pharmacology, Toxicology and Pharmaceutical Science 15 5%
Other 52 17%
Unknown 70 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 05 October 2022.
All research outputs
#966,023
of 23,482,849 outputs
Outputs from Frontiers in Pharmacology
#329
of 17,032 outputs
Outputs of similar age
#10,000
of 229,498 outputs
Outputs of similar age from Frontiers in Pharmacology
#3
of 70 outputs
Altmetric has tracked 23,482,849 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 17,032 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 98% 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 229,498 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 95% of its contemporaries.
We're also able to compare this research output to 70 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 97% of its contemporaries.