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.
Mendeley readers
Attention Score in Context
| Title |
An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network
|
|---|---|
| Published in |
Computers in Biology & Medicine, April 2024
|
| DOI | 10.1016/j.compbiomed.2024.108462 |
| Pubmed ID | |
| Authors |
Siuly Siuly, Smith K Khare, Enamul Kabir, Muhammad Tariq Sadiq, Hua Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 23 April 2024.
All research outputs
#2,379,464
of 25,766,791 outputs
Outputs from Computers in Biology & Medicine
#69
of 2,829 outputs
Outputs of similar age
#18,858
of 201,190 outputs
Outputs of similar age from Computers in Biology & Medicine
#1
of 46 outputs
Altmetric has tracked 25,766,791 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,829 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 97% 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 201,190 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 46 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.