The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
Attention Score in Context
Title |
Machine Learning Decomposition of the Anatomy of Neuropsychological Deficit in Alzheimer’s Disease and Mild Cognitive Impairment
|
---|---|
Published in |
Frontiers in Aging Neuroscience, May 2022
|
DOI | 10.3389/fnagi.2022.854733 |
Pubmed ID | |
Authors |
Ningxin Dong, Changyong Fu, Renren Li, Wei Zhang, Meng Liu, Weixin Xiao, Hugh M. Taylor, Peter J. Nicholas, Onur Tanglay, Isabella M. Young, Karol Z. Osipowicz, Michael E. Sughrue, Stephane P. Doyen, Yunxia Li |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 14% |
Student > Ph. D. Student | 3 | 8% |
Student > Bachelor | 3 | 8% |
Unspecified | 2 | 6% |
Lecturer | 2 | 6% |
Other | 3 | 8% |
Unknown | 18 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 11% |
Agricultural and Biological Sciences | 3 | 8% |
Unspecified | 2 | 6% |
Computer Science | 2 | 6% |
Psychology | 2 | 6% |
Other | 4 | 11% |
Unknown | 19 | 53% |
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 27 May 2022.
All research outputs
#4,610,353
of 24,490,209 outputs
Outputs from Frontiers in Aging Neuroscience
#2,234
of 5,257 outputs
Outputs of similar age
#98,984
of 433,253 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#118
of 325 outputs
Altmetric has tracked 24,490,209 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,257 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has gotten more attention than average, scoring higher than 52% 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 433,253 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 325 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 55% of its contemporaries.