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 |
Identification of sixteen novel candidate genes for late onset Parkinson’s disease
|
|---|---|
| Published in |
Molecular Neurodegeneration, June 2021
|
| DOI | 10.1186/s13024-021-00455-2 |
| Pubmed ID | |
| Authors |
Alessandro Gialluisi, Mafalda Giovanna Reccia, Nicola Modugno, Teresa Nutile, Alessia Lombardi, Luca Giovanni Di Giovannantonio, Sara Pietracupa, Daniela Ruggiero, Simona Scala, Stefano Gambardella, Licia Iacoviello, Fernando Gianfrancesco, Dario Acampora, Maurizio D’Esposito, Antonio Simeone, Marina Ciullo, Teresa Esposito |
X Demographics
The data shown below were collected from the profiles of 17 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 Kingdom | 3 | 18% |
| Sweden | 1 | 6% |
| Argentina | 1 | 6% |
| Pakistan | 1 | 6% |
| Finland | 1 | 6% |
| Austria | 1 | 6% |
| India | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 7 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Scientists | 3 | 18% |
| Science communicators (journalists, bloggers, editors) | 2 | 12% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 14% |
| Student > Ph. D. Student | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 4 | 5% |
| Professor > Associate Professor | 4 | 5% |
| Other | 15 | 19% |
| Unknown | 33 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 13 | 16% |
| Biochemistry, Genetics and Molecular Biology | 11 | 14% |
| Agricultural and Biological Sciences | 8 | 10% |
| Medicine and Dentistry | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 36 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 2022.
All research outputs
#1,521,976
of 25,134,448 outputs
Outputs from Molecular Neurodegeneration
#128
of 959 outputs
Outputs of similar age
#37,289
of 437,495 outputs
Outputs of similar age from Molecular Neurodegeneration
#5
of 19 outputs
Altmetric has tracked 25,134,448 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 959 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.3. This one has done well, scoring higher than 86% 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 437,495 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 91% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.