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Mendeley readers
Attention Score in Context
| Title |
Machine learning application for classification of Alzheimer's disease stages using 18F-flortaucipir positron emission tomography
|
|---|---|
| Published in |
BioMedical Engineering OnLine, April 2023
|
| DOI | 10.1186/s12938-023-01107-w |
| Pubmed ID | |
| Authors |
Sang Won Park, Na Young Yeo, Jinsu Lee, Suk-Hee Lee, Junghyun Byun, Dong Young Park, Sujin Yum, Jung-Kyeom Kim, Gihwan Byeon, Yeshin Kim, Jae-Won Jang |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 3 | 11% |
| Professor | 2 | 7% |
| Unspecified | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Student > Master | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 20 | 71% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 14% |
| Medicine and Dentistry | 2 | 7% |
| Business, Management and Accounting | 1 | 4% |
| Unspecified | 1 | 4% |
| Unknown | 20 | 71% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 05 May 2023.
All research outputs
#2,248,406
of 23,692,259 outputs
Outputs from BioMedical Engineering OnLine
#43
of 838 outputs
Outputs of similar age
#21,703
of 229,557 outputs
Outputs of similar age from BioMedical Engineering OnLine
#1
of 5 outputs
Altmetric has tracked 23,692,259 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 838 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 94% 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 229,557 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 90% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them