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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The associations between Parkinson’s disease and cancer: the plot thickens
|
|---|---|
| Published in |
Translational Neurodegeneration, October 2015
|
| DOI | 10.1186/s40035-015-0043-z |
| Pubmed ID | |
| Authors |
Danielle D. Feng, Waijiao Cai, Xiqun Chen |
| Abstract |
Epidemiological studies support a general inverse association between the risk of cancer development and Parkinson's disease (PD). In recent years however, increasing amount of eclectic evidence points to a positive association between PD and cancers through different temporal analyses and ethnic groups. This positive association has been supported by several common genetic mutations in SNCA, PARK2, PARK8, ATM, p53, PTEN, and MC1R resulting in cellular changes such as mitochondrial dysfunction, aberrant protein aggregation, and cell cycle dysregulation. Here, we review the epidemiological and biological advances of the past decade in the association between PD and cancers to offer insight on the recent and sometimes contradictory findings. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 18% |
| Student > Ph. D. Student | 16 | 16% |
| Student > Bachelor | 12 | 12% |
| Student > Master | 10 | 10% |
| Student > Doctoral Student | 4 | 4% |
| Other | 11 | 11% |
| Unknown | 28 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 23% |
| Biochemistry, Genetics and Molecular Biology | 13 | 13% |
| Agricultural and Biological Sciences | 12 | 12% |
| Neuroscience | 6 | 6% |
| Computer Science | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 32 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 16 April 2020.
All research outputs
#3,025,786
of 25,371,288 outputs
Outputs from Translational Neurodegeneration
#124
of 384 outputs
Outputs of similar age
#40,779
of 295,169 outputs
Outputs of similar age from Translational Neurodegeneration
#4
of 8 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 384 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.7. This one has gotten more attention than average, scoring higher than 66% 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 295,169 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.