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Attention Score in Context
| Title |
The role of A$$\beta $$ and Tau proteins in Alzheimer’s disease: a mathematical model on graphs
|
|---|---|
| Published in |
Journal of Mathematical Biology, August 2023
|
| DOI | 10.1007/s00285-023-01985-7 |
| Pubmed ID | |
| Authors |
Michiel Bertsch, Bruno Franchi, Maria Carla Tesi, Veronica Tora |
| Abstract |
In this Note we study a mathematical model for the progression of Alzheimer's Disease in the human brain. The novelty of our approach consists in the representation of the brain as two superposed graphs where toxic proteins diffuse, the connectivity graph which represents the neural network, and the proximity graph which takes into account the extracellular space. Toxic proteins such as [Formula: see text] amyloid and Tau play in fact a crucial role in the development of Alzheimer's disease and, separately, have been targets of medical treatments. Recent biomedical literature stresses the potential impact of the synergetic action of these proteins. We numerically test various modelling hypotheses which confirm the relevance of this synergy. |
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 % |
|---|---|---|
| Unknown | 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 22% |
| Professor | 1 | 11% |
| Student > Bachelor | 1 | 11% |
| Unknown | 5 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 2 | 22% |
| Chemical Engineering | 1 | 11% |
| Engineering | 1 | 11% |
| Unknown | 5 | 56% |
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 01 September 2023.
All research outputs
#3,476,641
of 24,406,441 outputs
Outputs from Journal of Mathematical Biology
#50
of 698 outputs
Outputs of similar age
#28,908
of 194,049 outputs
Outputs of similar age from Journal of Mathematical Biology
#2
of 7 outputs
Altmetric has tracked 24,406,441 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 698 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 92% 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 194,049 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 85% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.