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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Cell Models to Study Cell-to-Cell Transmission of α-Synuclein.
|
|---|---|
| Chapter number | 19 |
| Book title |
Protein Amyloid Aggregation
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-2978-8_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2977-1, 978-1-4939-2978-8
|
| Authors |
Bae, Eun-Jin, Lee, He-Jin, Lee, Seung-Jae, Eun-Jin Bae, He-Jin Lee, Seung-Jae Lee |
| Abstract |
The cell-to-cell transmission of protein aggregates has been implicated in the progression of pathological phenotypes in neurodegenerative disorders such as Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis. In recent years, several experimental model systems have been developed to study the mechanisms of cell-to-cell transmission. Herein, we describe cell culture models with which cell-to-cell transmission of α-synuclein can be quantitatively analyzed. The principle underlying these models could be applied to developing model systems for transmission of other protein aggregates, such as tau and TDP-43. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Germany | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 19% |
| Student > Bachelor | 3 | 14% |
| Researcher | 3 | 14% |
| Student > Doctoral Student | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Other | 5 | 24% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 33% |
| Agricultural and Biological Sciences | 5 | 24% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Computer Science | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 4 | 19% |
| Unknown | 2 | 10% |
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 16 October 2015.
All research outputs
#2,943,607
of 22,830,751 outputs
Outputs from Methods in molecular biology
#594
of 13,126 outputs
Outputs of similar age
#52,942
of 393,540 outputs
Outputs of similar age from Methods in molecular biology
#102
of 1,470 outputs
Altmetric has tracked 22,830,751 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 13,126 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 95% 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 393,540 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 86% of its contemporaries.
We're also able to compare this research output to 1,470 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 92% of its contemporaries.