Article
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Attention Score in Context
| Chapter title |
Characterization of Amyloid-β Plaques and Autofluorescent Lipofuscin Aggregates in Alzheimer’s Disease Brain: A Confocal Microscopy Approach
|
|---|---|
| Chapter number | 31 |
| Book title |
Amyloid Proteins
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7816-8_31 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7815-1, 978-1-4939-7816-8
|
| Authors |
Alejandra Kun, Fernando González-Camacho, Silvia Hernández, Alexandra Moreno-García, Olga Calero, Miguel Calero, Kun, Alejandra, González-Camacho, Fernando, Hernández, Silvia, Moreno-García, Alexandra, Calero, Olga, Calero, Miguel |
| Abstract |
The study of brain pathology by fluorescence microscopy finds in the autofluorescence of the tissue an additional difficulty for the recognition of markers of interest. In particular, in the immunofluorescence study of brains from Alzheimer's disease (AD) patients, several approaches have been attempted to eliminate or mask the presence of autofluorescent aggregates. In the present work, we propose a method to characterize by fluorescent microscopy senile plaques discriminating them from autofluorescent aggregates, such as lipofuscin granules.This work describes four protocols carried out in human brain tissue of patients with AD, covering adequate tissue preparation, immunofluorescence acquisition, and data analysis: 1. Tissues processing of frozen samples for optimal epitope conservation. 2. Analysis of the fluorescence emission spectrum of the tissue by performing a confocal microscopy λ-scan. 3. Analysis of fluorescence emission of both intact and formic acid-treated tissues in four channels corresponding to the emission in blue, green, near red, and far-red regions. 4. Analysis a specific immunostaining of amyloid beta in senile plaques, using fluorescent-labeled antibodies by using specific emission channels to avoid detection of tissue autofluorescence. |
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 % |
|---|---|---|
| United States | 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 20% |
| Other | 2 | 10% |
| Researcher | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 8 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 4 | 20% |
| Biochemistry, Genetics and Molecular Biology | 3 | 15% |
| Unspecified | 1 | 5% |
| Psychology | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 8 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 15 June 2018.
All research outputs
#3,169,198
of 23,090,520 outputs
Outputs from Methods in molecular biology
#700
of 13,206 outputs
Outputs of similar age
#73,057
of 442,629 outputs
Outputs of similar age from Methods in molecular biology
#49
of 1,499 outputs
Altmetric has tracked 23,090,520 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 13,206 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 94% 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 442,629 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 1,499 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.