| Title |
Soft robotic patient-specific hydrodynamic model of aortic stenosis and ventricular remodeling
|
|---|---|
| Published in |
Science Robotics, February 2023
|
| DOI | 10.1126/scirobotics.ade2184 |
| Pubmed ID | |
| Authors |
Luca Rosalia, Caglar Ozturk, Debkalpa Goswami, Jean Bonnemain, Sophie X Wang, Benjamin Bonner, James C Weaver, Rishi Puri, Samir Kapadia, Christopher T Nguyen, Ellen T Roche |
X Demographics
The data shown below were collected from the profiles of 79 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 | 30 | 38% |
| Italy | 3 | 4% |
| United Kingdom | 3 | 4% |
| Germany | 2 | 3% |
| India | 2 | 3% |
| Turkey | 1 | 1% |
| Canada | 1 | 1% |
| Pakistan | 1 | 1% |
| Israel | 1 | 1% |
| Other | 7 | 9% |
| Unknown | 28 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 55 | 70% |
| Scientists | 14 | 18% |
| Practitioners (doctors, other healthcare professionals) | 8 | 10% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 11% |
| Other | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Student > Doctoral Student | 3 | 8% |
| Student > Master | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 18 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 14 | 37% |
| Medicine and Dentistry | 4 | 11% |
| Social Sciences | 1 | 3% |
| Unspecified | 1 | 3% |
| Materials Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 16 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 442. 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 12 October 2023.
All research outputs
#65,106
of 25,901,238 outputs
Outputs from Science Robotics
#57
of 645 outputs
Outputs of similar age
#1,823
of 430,190 outputs
Outputs of similar age from Science Robotics
#2
of 17 outputs
Altmetric has tracked 25,901,238 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 645 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 169.5. This one has done particularly well, scoring higher than 91% 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 430,190 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 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.