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Mendeley readers
Attention Score in Context
| Title |
3H-Deprenyl and 3H-PIB autoradiography show different laminar distributions of astroglia and fibrillar β-amyloid in Alzheimer brain
|
|---|---|
| Published in |
Journal of Neuroinflammation, July 2013
|
| DOI | 10.1186/1742-2094-10-90 |
| Pubmed ID | |
| Authors |
Amelia Marutle, Per-Göran Gillberg, Assar Bergfors, Wenfeng Yu, Ruiqing Ni, Inger Nennesmo, Larysa Voytenko, Agneta Nordberg |
| Abstract |
The pathological features in Alzheimer's disease (AD) brain include the accumulation and deposition of β-amyloid (Aβ), activation of astrocytes and microglia and disruption of cholinergic neurotransmission. Since the topographical characteristics of these different pathological processes in AD brain and how these relate to each other is not clear, this motivated further exploration using binding studies in postmortem brain with molecular imaging tracers. This information could aid the development of specific biomarkers to accurately chart disease progression. |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Spain | 1 | 1% |
| Sweden | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 67 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 15% |
| Researcher | 9 | 13% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Bachelor | 7 | 10% |
| Professor | 7 | 10% |
| Other | 12 | 17% |
| Unknown | 16 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 17 | 24% |
| Medicine and Dentistry | 15 | 21% |
| Agricultural and Biological Sciences | 6 | 8% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Psychology | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 19 | 27% |
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 23 July 2013.
All research outputs
#15,274,524
of 22,714,025 outputs
Outputs from Journal of Neuroinflammation
#1,735
of 2,613 outputs
Outputs of similar age
#122,197
of 197,837 outputs
Outputs of similar age from Journal of Neuroinflammation
#16
of 32 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,613 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 26th percentile – i.e., 26% 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 197,837 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.