| Title |
RNA methylation influences TDP43 binding and disease pathogenesis in models of amyotrophic lateral sclerosis and frontotemporal dementia
|
|---|---|
| Published in |
Molecular Cell, January 2023
|
| DOI | 10.1016/j.molcel.2022.12.019 |
| Pubmed ID | |
| Authors |
Michael McMillan, Nicolas Gomez, Caroline Hsieh, Michael Bekier, Xingli Li, Roberto Miguez, Elizabeth M.H. Tank, Sami J. Barmada |
Twitter Demographics
The data shown below were collected from the profiles of 54 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 35% |
| United Kingdom | 3 | 6% |
| Canada | 2 | 4% |
| Belgium | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Netherlands | 1 | 2% |
| Australia | 1 | 2% |
| Spain | 1 | 2% |
| Germany | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 19 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 30 | 56% |
| Scientists | 23 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 26% |
| Student > Ph. D. Student | 10 | 20% |
| Student > Master | 8 | 16% |
| Unspecified | 3 | 6% |
| Professor | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 10 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 11 | 22% |
| Biochemistry, Genetics and Molecular Biology | 11 | 22% |
| Agricultural and Biological Sciences | 9 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Unspecified | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 10 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 83. 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 28 April 2023.
All research outputs
#475,222
of 24,156,282 outputs
Outputs from Molecular Cell
#305
of 7,348 outputs
Outputs of similar age
#10,854
of 444,360 outputs
Outputs of similar age from Molecular Cell
#8
of 84 outputs
Altmetric has tracked 24,156,282 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 7,348 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. 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 444,360 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 84 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 91% of its contemporaries.