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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multivariate Deep Learning Classification of Alzheimer’s Disease Based on Hierarchical Partner Matching Independent Component Analysis
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, December 2018
|
| DOI | 10.3389/fnagi.2018.00417 |
| Pubmed ID | |
| Authors |
Jianping Qiao, Yingru Lv, Chongfeng Cao, Zhishun Wang, Anning Li |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 25% |
| Netherlands | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 20% |
| Student > Bachelor | 10 | 12% |
| Student > Master | 7 | 8% |
| Researcher | 6 | 7% |
| Student > Doctoral Student | 5 | 6% |
| Other | 12 | 14% |
| Unknown | 27 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 15% |
| Neuroscience | 10 | 12% |
| Engineering | 9 | 11% |
| Medicine and Dentistry | 9 | 11% |
| Chemical Engineering | 3 | 4% |
| Other | 6 | 7% |
| Unknown | 34 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 11 January 2019.
All research outputs
#3,168,495
of 23,577,654 outputs
Outputs from Frontiers in Aging Neuroscience
#1,472
of 4,972 outputs
Outputs of similar age
#65,541
of 409,135 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#39
of 107 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,972 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has gotten more attention than average, scoring higher than 68% 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 409,135 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 83% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.