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 |
Biometric handwriting analysis to support Parkinson’s Disease assessment and grading
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2019
|
| DOI | 10.1186/s12911-019-0989-3 |
| Pubmed ID | |
| Authors |
Giacomo Donato Cascarano, Claudio Loconsole, Antonio Brunetti, Antonio Lattarulo, Domenico Buongiorno, Giacomo Losavio, Eugenio Di Sciascio, Vitoantonio Bevilacqua |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 13% |
| Student > Bachelor | 5 | 9% |
| Professor > Associate Professor | 3 | 5% |
| Student > Ph. D. Student | 3 | 5% |
| Researcher | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 30 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 13% |
| Engineering | 7 | 13% |
| Neuroscience | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 29 | 53% |
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 25 March 2020.
All research outputs
#15,557,505
of 23,881,329 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,259
of 2,030 outputs
Outputs of similar age
#267,410
of 463,847 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#38
of 69 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,030 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 33rd percentile – i.e., 33% 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 463,847 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.