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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Sub-Classification of Amnestic Mild Cognitive Impairment Using MRI-Based Cortical Thickness Measures
|
|---|---|
| Published in |
Frontiers in Neurology, May 2014
|
| DOI | 10.3389/fneur.2014.00076 |
| Pubmed ID | |
| Authors |
Pradeep Reddy Raamana, Wei Wen, Nicole A. Kochan, Henry Brodaty, Perminder S. Sachdev, Lei Wang, Mirza Faisal Beg |
| Abstract |
Amnestic mild cognitive impairment (aMCI) is considered to be the transitional stage between healthy aging and Alzheimer's disease (AD). Moreover, aMCI individuals with additional impairment in one or more non-memory cognitive domains are at higher risk of conversion to AD. Hence accurate identification of the sub-types of aMCI would enable earlier detection of individuals progressing to AD. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 2% |
| Unknown | 42 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 26% |
| Student > Ph. D. Student | 7 | 16% |
| Professor | 7 | 16% |
| Student > Master | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 8 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 8 | 19% |
| Medicine and Dentistry | 7 | 16% |
| Computer Science | 4 | 9% |
| Psychology | 4 | 9% |
| Engineering | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 13 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 21 May 2014.
All research outputs
#20,230,558
of 22,756,196 outputs
Outputs from Frontiers in Neurology
#8,668
of 11,665 outputs
Outputs of similar age
#191,950
of 226,345 outputs
Outputs of similar age from Frontiers in Neurology
#39
of 63 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,665 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 226,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.