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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AAV gene therapy for Tay-Sachs disease
|
|---|---|
| Published in |
Nature Medicine, February 2022
|
| DOI | 10.1038/s41591-021-01664-4 |
| Pubmed ID | |
| Authors |
Terence R. Flotte, Oguz Cataltepe, Ajit Puri, Ana Rita Batista, Richard Moser, Diane McKenna-Yasek, Catherine Douthwright, Gwladys Gernoux, Meghan Blackwood, Christian Mueller, Phillip W. L. Tai, Xuntian Jiang, Scot Bateman, Spiro G. Spanakis, Julia Parzych, Allison M. Keeler, Aly Abayazeed, Saurabh Rohatgi, Laura Gibson, Robert Finberg, Bruce A. Barton, Zeynep Vardar, Mohammed Salman Shazeeb, Matthew Gounis, Cynthia J. Tifft, Florian S. Eichler, Robert H. Brown, Douglas R. Martin, Heather L. Gray-Edwards, Miguel Sena-Esteves |
X Demographics
The data shown below were collected from the profiles of 61 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 | 23 | 38% |
| United Kingdom | 9 | 15% |
| Spain | 2 | 3% |
| India | 2 | 3% |
| Israel | 1 | 2% |
| China | 1 | 2% |
| Colombia | 1 | 2% |
| France | 1 | 2% |
| Canada | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 19 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 30 | 49% |
| Scientists | 21 | 34% |
| Science communicators (journalists, bloggers, editors) | 7 | 11% |
| Practitioners (doctors, other healthcare professionals) | 3 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 16% |
| Student > Ph. D. Student | 10 | 10% |
| Student > Bachelor | 10 | 10% |
| Student > Master | 7 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Other | 11 | 11% |
| Unknown | 43 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 15% |
| Agricultural and Biological Sciences | 9 | 9% |
| Medicine and Dentistry | 7 | 7% |
| Neuroscience | 7 | 7% |
| Computer Science | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 52 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 384. 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 10 May 2024.
All research outputs
#82,890
of 25,980,896 outputs
Outputs from Nature Medicine
#454
of 9,505 outputs
Outputs of similar age
#2,761
of 534,087 outputs
Outputs of similar age from Nature Medicine
#22
of 148 outputs
Altmetric has tracked 25,980,896 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,505 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 107.0. 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 534,087 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 99% of its contemporaries.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.