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| 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
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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 16% |
| Student > Bachelor | 9 | 12% |
| Other | 5 | 7% |
| Researcher | 5 | 7% |
| Student > Master | 5 | 7% |
| Other | 11 | 15% |
| Unknown | 28 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 23 | 31% |
| Materials Science | 7 | 9% |
| Medicine and Dentistry | 7 | 9% |
| Computer Science | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 27 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 194. 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
#200,436
of 25,099,766 outputs
Outputs from Science Advances
#1,624
of 11,862 outputs
Outputs of similar age
#6,167
of 405,940 outputs
Outputs of similar age from Science Advances
#70
of 555 outputs
Altmetric has tracked 25,099,766 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 11,862 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 120.0. 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 405,940 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.