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Mendeley readers
Attention Score in Context
Title |
Explainable Tensor Multi-Task Ensemble Learning Based on Brain Structure Variation for Alzheimer’s Disease Dynamic Prediction
|
---|---|
Published in |
IEEE Journal of Translational Engineering in Health and Medicine, November 2022
|
DOI | 10.1109/jtehm.2022.3219775 |
Pubmed ID | |
Authors |
Yu Zhang, Tong Liu, Vitaveska Lanfranchi, Po Yang |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 21 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 14% |
Student > Master | 3 | 14% |
Student > Bachelor | 2 | 10% |
Unspecified | 1 | 5% |
Other | 1 | 5% |
Other | 1 | 5% |
Unknown | 10 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 14% |
Psychology | 2 | 10% |
Medicine and Dentistry | 2 | 10% |
Nursing and Health Professions | 1 | 5% |
Unspecified | 1 | 5% |
Other | 2 | 10% |
Unknown | 10 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 09 December 2022.
All research outputs
#4,840,893
of 25,392,582 outputs
Outputs from IEEE Journal of Translational Engineering in Health and Medicine
#31
of 228 outputs
Outputs of similar age
#97,700
of 440,732 outputs
Outputs of similar age from IEEE Journal of Translational Engineering in Health and Medicine
#3
of 9 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 228 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 83% 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 440,732 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.