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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A review of β-amyloid neuroimaging in Alzheimer's disease
|
|---|---|
| Published in |
Frontiers in Neuroscience, October 2014
|
| DOI | 10.3389/fnins.2014.00327 |
| Pubmed ID | |
| Authors |
Paul A. Adlard, Bob A. Tran, David I. Finkelstein, Patricia M. Desmond, Leigh A. Johnston, Ashley I. Bush, Gary F. Egan |
| Abstract |
Alzheimer's disease (AD) is the most common cause of dementia worldwide. As advancing age is the greatest risk factor for developing AD, the number of those afflicted is expected to increase markedly with the aging of the world's population. The inability to definitively diagnose AD until autopsy remains an impediment to establishing effective targeted treatments. Neuroimaging has enabled in vivo visualization of pathological changes in the brain associated with the disease, providing a greater understanding of its pathophysiological development and progression. However, neuroimaging biomarkers do not yet offer clear advantages over current clinical diagnostic criteria for them to be accepted into routine clinical use. Nonetheless, current insights from neuroimaging combined with the elucidation of biochemical and molecular processes in AD are informing the ongoing development of new imaging techniques and their application. Much of this research has been greatly assisted by the availability of transgenic mouse models of AD. In this review we summarize the main efforts of neuroimaging in AD in humans and in mouse models, with a specific focus on β-amyloid, and discuss the potential of new applications and novel approaches. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| Switzerland | 1 | 14% |
| Ireland | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| United Kingdom | 2 | <1% |
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 218 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 43 | 19% |
| Researcher | 42 | 19% |
| Student > Master | 33 | 15% |
| Student > Bachelor | 26 | 11% |
| Student > Doctoral Student | 12 | 5% |
| Other | 37 | 16% |
| Unknown | 34 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 36 | 16% |
| Medicine and Dentistry | 35 | 15% |
| Agricultural and Biological Sciences | 26 | 11% |
| Biochemistry, Genetics and Molecular Biology | 19 | 8% |
| Chemistry | 16 | 7% |
| Other | 52 | 23% |
| Unknown | 43 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 02 November 2014.
All research outputs
#7,688,662
of 25,374,647 outputs
Outputs from Frontiers in Neuroscience
#4,846
of 11,538 outputs
Outputs of similar age
#80,220
of 274,544 outputs
Outputs of similar age from Frontiers in Neuroscience
#48
of 119 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 57% 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 274,544 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 119 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 59% of its contemporaries.