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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification and drug-induced reversion of molecular signatures of Alzheimer’s disease onset and progression in AppNL-G-F, AppNL-F, and 3xTg-AD mouse models
|
|---|---|
| Published in |
Genome Medicine, October 2021
|
| DOI | 10.1186/s13073-021-00983-y |
| Pubmed ID | |
| Authors |
Eduardo Pauls, Sergi Bayod, Lídia Mateo, Víctor Alcalde, Teresa Juan-Blanco, Marta Sánchez-Soto, Takaomi C. Saido, Takashi Saito, Antoni Berrenguer-Llergo, Camille Stephan-Otto Attolini, Marina Gay, Eliandre de Oliveira, Miquel Duran-Frigola, Patrick Aloy |
X Demographics
The data shown below were collected from the profiles of 41 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 8 | 20% |
| United States | 5 | 12% |
| United Kingdom | 4 | 10% |
| Singapore | 1 | 2% |
| France | 1 | 2% |
| Switzerland | 1 | 2% |
| Costa Rica | 1 | 2% |
| Unknown | 20 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 66% |
| Scientists | 12 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 20% |
| Researcher | 7 | 15% |
| Student > Bachelor | 6 | 13% |
| Other | 2 | 4% |
| Professor | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 15 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 22% |
| Neuroscience | 6 | 13% |
| Agricultural and Biological Sciences | 3 | 7% |
| Computer Science | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 16 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 99. 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 07 April 2024.
All research outputs
#432,005
of 25,663,438 outputs
Outputs from Genome Medicine
#73
of 1,607 outputs
Outputs of similar age
#10,708
of 443,955 outputs
Outputs of similar age from Genome Medicine
#6
of 38 outputs
Altmetric has tracked 25,663,438 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,607 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. 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 443,955 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.