You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of Patient-Specific Computational Fluid Dynamics in Coronary and Intra-Cardiac Flow Simulations: Challenges and Opportunities
|
|---|---|
| Published in |
Frontiers in Physiology, June 2018
|
| DOI | 10.3389/fphys.2018.00742 |
| Pubmed ID | |
| Authors |
Liang Zhong, Jun-Mei Zhang, Boyang Su, Ru San Tan, John C. Allen, Ghassan S. Kassab |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Cuba | 1 | 20% |
| Spain | 1 | 20% |
| United States | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 201 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 17% |
| Researcher | 27 | 13% |
| Student > Master | 25 | 12% |
| Student > Bachelor | 20 | 10% |
| Student > Doctoral Student | 11 | 5% |
| Other | 18 | 9% |
| Unknown | 66 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 71 | 35% |
| Medicine and Dentistry | 12 | 6% |
| Mathematics | 9 | 4% |
| Computer Science | 7 | 3% |
| Chemical Engineering | 6 | 3% |
| Other | 14 | 7% |
| Unknown | 82 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 17 July 2021.
All research outputs
#5,589,040
of 23,098,660 outputs
Outputs from Frontiers in Physiology
#2,521
of 13,846 outputs
Outputs of similar age
#95,553
of 329,061 outputs
Outputs of similar age from Frontiers in Physiology
#145
of 527 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,846 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 81% 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 329,061 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 527 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 72% of its contemporaries.