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Adverse outcome pathways: Application to enhance mechanistic understanding of neurotoxicity

Overview of attention for article published in Pharmacology & Therapeutics, May 2017
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Title
Adverse outcome pathways: Application to enhance mechanistic understanding of neurotoxicity
Published in
Pharmacology & Therapeutics, May 2017
DOI 10.1016/j.pharmthera.2017.05.006
Pubmed ID
Authors

Anna Bal-Price, M.E. Meek

Abstract

Recent developments have prompted the transition of empirically based testing of late stage toxicity in animals for a range of different endpoints including neurotoxicity to more efficient and predictive mechanistically based approaches with greater emphasis on measurable key events early in the progression of disease. The adverse outcome pathway (AOP) has been proposed as a simplified organizational construct to contribute to this transition by linking molecular initiating events and earlier (more predictive) key events at lower levels of biological organization to disease outcomes. As such, AOPs are anticipated to facilitate the compilation of information to increase mechanistic understanding of pathophysiological pathways that are responsible for human disease. In this review, the sequence of key events resulting in adverse outcome (AO) defined as parkinsonian motor impairment and learning and memory deficit in children, triggered by exposure to environmental chemicals has been briefly described using the AOP framework. These AOPs follow convention adopted in an Organization for Economic Cooperation and Development (OECD) AOP development program, publically available, to permit tailored application of AOPs for a range of different purposes. Due to the complexity of disease pathways, including neurodegenerative disorders, a specific symptom of the disease (e.g. parkinsonian motor deficit) is considered as the AO in a developed AOP. Though the description is necessarily limited by the extent of current knowledge, additional characterization of involved pathways through description of related AOPs interlinked into networks for the same disease has potential to contribute to more holistic and mechanistic understanding of the pathophysiological pathways involved, possibly leading to the mechanism-based reclassification of diseases, thus facilitating more personalized treatment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 158 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 18%
Researcher 26 16%
Student > Bachelor 18 11%
Student > Master 16 10%
Student > Doctoral Student 7 4%
Other 20 13%
Unknown 43 27%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 26 16%
Biochemistry, Genetics and Molecular Biology 17 11%
Agricultural and Biological Sciences 12 8%
Medicine and Dentistry 9 6%
Neuroscience 8 5%
Other 32 20%
Unknown 54 34%
Attention Score in Context

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 13 December 2017.
All research outputs
#14,787,133
of 25,382,440 outputs
Outputs from Pharmacology & Therapeutics
#1,800
of 2,376 outputs
Outputs of similar age
#164,351
of 326,979 outputs
Outputs of similar age from Pharmacology & Therapeutics
#11
of 24 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,376 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 23rd percentile – i.e., 23% 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 326,979 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.