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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of mechanistic subtypes of Parkinson’s using patient-derived stem cell models
|
|---|---|
| Published in |
Nature Machine Intelligence, August 2023
|
| DOI | 10.1038/s42256-023-00702-9 |
| Pubmed ID | |
| Authors |
Karishma D’Sa, James R. Evans, Gurvir S. Virdi, Giulia Vecchi, Alexander Adam, Ottavia Bertolli, James Fleming, Hojong Chang, Craig Leighton, Mathew H. Horrocks, Dilan Athauda, Minee L. Choi, Sonia Gandhi |
X Demographics
The data shown below were collected from the profiles of 118 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 | 26 | 22% |
| United Kingdom | 16 | 14% |
| France | 4 | 3% |
| Chile | 4 | 3% |
| Mexico | 4 | 3% |
| Canada | 3 | 3% |
| Brazil | 2 | 2% |
| Austria | 2 | 2% |
| Germany | 1 | <1% |
| Other | 8 | 7% |
| Unknown | 48 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 84 | 71% |
| Scientists | 26 | 22% |
| Science communicators (journalists, bloggers, editors) | 4 | 3% |
| Practitioners (doctors, other healthcare professionals) | 4 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 19% |
| Student > Bachelor | 7 | 17% |
| Researcher | 6 | 14% |
| Other | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 15 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 8 | 19% |
| Biochemistry, Genetics and Molecular Biology | 7 | 17% |
| Medicine and Dentistry | 4 | 10% |
| Agricultural and Biological Sciences | 2 | 5% |
| Chemistry | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 17 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1176. 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 08 November 2023.
All research outputs
#12,619
of 25,925,760 outputs
Outputs from Nature Machine Intelligence
#5
of 787 outputs
Outputs of similar age
#360
of 362,524 outputs
Outputs of similar age from Nature Machine Intelligence
#1
of 34 outputs
Altmetric has tracked 25,925,760 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 787 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.5. This one has done particularly well, scoring higher than 99% 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 362,524 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 99% of its contemporaries.
We're also able to compare this research output to 34 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.