The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Protein Predictive Modeling and Simulation of Mutations of Presenilin-1 Familial Alzheimer’s Disease on the Orthosteric Site
|
|---|---|
| Published in |
Frontiers in Molecular Biosciences, June 2021
|
| DOI | 10.3389/fmolb.2021.649990 |
| Pubmed ID | |
| Authors |
Alejandro Soto-Ospina, Pedronel Araque Marín, Gabriel Bedoya, Diego Sepulveda-Falla, Andrés Villegas Lanau |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 17% |
| United Kingdom | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Student > Bachelor | 3 | 13% |
| Student > Doctoral Student | 3 | 13% |
| Researcher | 2 | 9% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 26% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 9% |
| Chemistry | 2 | 9% |
| Neuroscience | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 11 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 25 May 2022.
All research outputs
#2,623,275
of 23,308,124 outputs
Outputs from Frontiers in Molecular Biosciences
#160
of 4,002 outputs
Outputs of similar age
#65,590
of 448,096 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#21
of 434 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,002 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 96% 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 448,096 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 434 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 95% of its contemporaries.