| Title |
On-chip 3D neuromuscular model for drug screening and precision medicine in neuromuscular disease
|
|---|---|
| Published in |
Nature Protocols, January 2020
|
| DOI | 10.1038/s41596-019-0248-1 |
| Pubmed ID | |
| Authors |
Tatsuya Osaki, Sebastien G. M. Uzel, Roger D. Kamm |
X Demographics
The data shown below were collected from the profiles of 10 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 Kingdom | 2 | 20% |
| United States | 2 | 20% |
| Unknown | 6 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 2 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 226 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 22% |
| Student > Master | 28 | 12% |
| Researcher | 25 | 11% |
| Student > Bachelor | 20 | 9% |
| Student > Doctoral Student | 10 | 4% |
| Other | 29 | 13% |
| Unknown | 64 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 52 | 23% |
| Engineering | 33 | 15% |
| Neuroscience | 19 | 8% |
| Agricultural and Biological Sciences | 12 | 5% |
| Medicine and Dentistry | 7 | 3% |
| Other | 24 | 11% |
| Unknown | 79 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 15 February 2024.
All research outputs
#2,028,824
of 25,904,557 outputs
Outputs from Nature Protocols
#742
of 2,974 outputs
Outputs of similar age
#48,757
of 480,002 outputs
Outputs of similar age from Nature Protocols
#22
of 57 outputs
Altmetric has tracked 25,904,557 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,974 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one has done well, scoring higher than 75% 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 480,002 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 89% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.