| Title |
3D printed patient-specific aortic root models with internal sensors for minimally invasive applications
|
|---|---|
| Published in |
Science Advances, August 2020
|
| DOI | 10.1126/sciadv.abb4641 |
| Pubmed ID | |
| Authors |
Ghazaleh Haghiashtiani, Kaiyan Qiu, Jorge D. Zhingre Sanchez, Zachary J. Fuenning, Priya Nair, Sarah E. Ahlberg, Paul A. Iaizzo, Michael C. McAlpine |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Japan | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 16% |
| Student > Bachelor | 8 | 12% |
| Student > Master | 5 | 7% |
| Other | 4 | 6% |
| Researcher | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 26 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 20 | 29% |
| Medicine and Dentistry | 7 | 10% |
| Materials Science | 5 | 7% |
| Computer Science | 2 | 3% |
| Unspecified | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 25 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 198. 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 03 January 2023.
All research outputs
#173,729
of 23,485,204 outputs
Outputs from Science Advances
#1,419
of 10,264 outputs
Outputs of similar age
#5,780
of 400,225 outputs
Outputs of similar age from Science Advances
#67
of 555 outputs
Altmetric has tracked 23,485,204 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 10,264 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 122.0. This one has done well, scoring higher than 86% 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 400,225 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 98% of its contemporaries.
We're also able to compare this research output to 555 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.