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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Grand Challenge. 2. Phenotypic Profiling of a Natural Product Library on Parkinson’s Patient-Derived Cells
|
|---|---|
| Published in |
Journal of Natural Products, July 2016
|
| DOI | 10.1021/acs.jnatprod.6b00258 |
| Pubmed ID | |
| Authors |
Marie-Laure Vial, Dusan Zencak, Tanja Grkovic, Alain-Dominique Gorse, Alan Mackay-Sim, George D. Mellick, Stephen A. Wood, Ronald J. Quinn |
| Abstract |
Harnessing the inherent biological relevance of natural products requires a method for the recognition of biological effects that may subsequently lead to the discovery of particular targets. An unbiased multidimensional profiling method was used to examine the activities of natural products on primary cells derived from a Parkinson's disease patient. The biological signature of 482 natural products was examined using multiparametric analysis to investigate known cellular pathways and organelles implicated in Parkinson's disease such as mitochondria, lysosomes, endosomes, apoptosis, and autophagy. By targeting several cell components simultaneously the chance of finding a phenotype was increased. The phenotypes were then clustered using an uncentered correlation. The multidimensional phenotypic screening showed that all natural products, in our screening set, were biologically relevant compounds as determined by an observed phenotypic effect. Multidimensional phenotypic screening can predict the cellular function and subcellular site of activity of new compounds, while the cluster analysis provides correlation with compounds with known mechanisms of action. This study reinforces the value of natural products as biologically relevant compounds. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 3% |
| Unknown | 35 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 42% |
| Student > Bachelor | 3 | 8% |
| Other | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Professor | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 9 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 9 | 25% |
| Agricultural and Biological Sciences | 6 | 17% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Neuroscience | 3 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 10 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 May 2017.
All research outputs
#13,985,864
of 22,881,154 outputs
Outputs from Journal of Natural Products
#3,743
of 4,981 outputs
Outputs of similar age
#207,246
of 364,027 outputs
Outputs of similar age from Journal of Natural Products
#27
of 61 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,981 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 24th percentile – i.e., 24% 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 364,027 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 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.