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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Trem2R47H mouse model without cryptic splicing drives age- and disease-dependent tissue damage and synaptic loss in response to plaques
|
|---|---|
| Published in |
Molecular Neurodegeneration, February 2023
|
| DOI | 10.1186/s13024-023-00598-4 |
| Pubmed ID | |
| Authors |
Kristine M. Tran, Shimako Kawauchi, Enikö A. Kramár, Narges Rezaie, Heidi Yahan Liang, Jasmine S. Sakr, Angela Gomez-Arboledas, Miguel A. Arreola, Celia da Cunha, Jimmy Phan, Shuling Wang, Sherilyn Collins, Amber Walker, Kai-Xuan Shi, Jonathan Neumann, Ghassan Filimban, Zechuan Shi, Giedre Milinkeviciute, Dominic I. Javonillo, Katelynn Tran, Magdalena Gantuz, Stefania Forner, Vivek Swarup, Andrea J. Tenner, Frank M. LaFerla, Marcelo A. Wood, Ali Mortazavi, Grant R. MacGregor, Kim N. Green |
X Demographics
The data shown below were collected from the profiles of 19 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 States | 6 | 32% |
| United Kingdom | 1 | 5% |
| Curaçao | 1 | 5% |
| Unknown | 11 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 74% |
| Scientists | 4 | 21% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Researcher | 2 | 7% |
| Other | 1 | 3% |
| Professor > Associate Professor | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 20 | 69% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 24% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Engineering | 1 | 3% |
| Unknown | 19 | 66% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 30 June 2023.
All research outputs
#1,659,814
of 25,067,172 outputs
Outputs from Molecular Neurodegeneration
#150
of 955 outputs
Outputs of similar age
#33,632
of 416,488 outputs
Outputs of similar age from Molecular Neurodegeneration
#13
of 20 outputs
Altmetric has tracked 25,067,172 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 955 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. This one has done well, scoring higher than 84% 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 416,488 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 91% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.