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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Identification of Parkinson’s disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data
|
---|---|
Published in |
npj Digital Medicine, July 2024
|
DOI | 10.1038/s41746-024-01175-9 |
Pubmed ID | |
Authors |
Chang Su, Yu Hou, Jielin Xu, Zhenxing Xu, Manqi Zhou, Alison Ke, Haoyang Li, Jie Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Molly C. Cincotta, Xinghua Shi, Claire Henchcliffe, James B. Leverenz, Jeffrey Cummings, Michael S. Okun, Jiang Bian, Feixiong Cheng, Fei Wang |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 50% |
Ecuador | 1 | 13% |
United Kingdom | 1 | 13% |
Unknown | 2 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 18% |
Student > Bachelor | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Professor > Associate Professor | 1 | 9% |
Other | 1 | 9% |
Other | 0 | 0% |
Unknown | 5 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 18% |
Engineering | 2 | 18% |
Neuroscience | 1 | 9% |
Immunology and Microbiology | 1 | 9% |
Unknown | 5 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 155. 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 20 September 2024.
All research outputs
#284,794
of 26,241,678 outputs
Outputs from npj Digital Medicine
#92
of 1,165 outputs
Outputs of similar age
#3,710
of 303,398 outputs
Outputs of similar age from npj Digital Medicine
#4
of 71 outputs
Altmetric has tracked 26,241,678 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,165 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 52.8. This one has done particularly well, scoring higher than 92% 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 303,398 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 98% of its contemporaries.
We're also able to compare this research output to 71 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 94% of its contemporaries.