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X Demographics
Mendeley readers
Attention Score in Context
Title |
Hemodynamic Modeling, Medical Imaging, and Machine Learning and Their Applications to Cardiovascular Interventions
|
---|---|
Published in |
IEEE Reviews in Biomedical Engineering, January 2023
|
DOI | 10.1109/rbme.2022.3142058 |
Pubmed ID | |
Authors |
Mason Kadem, Louis Garber, Mohamed Abdelkhalek, Baraa K. Al-Khazraji, Zahra Keshavarz-Motamed |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 4 | 67% |
United States | 1 | 17% |
Mexico | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 18% |
Student > Master | 4 | 9% |
Other | 3 | 7% |
Unspecified | 3 | 7% |
Researcher | 2 | 4% |
Other | 3 | 7% |
Unknown | 22 | 49% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 10 | 22% |
Unspecified | 3 | 7% |
Computer Science | 3 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Business, Management and Accounting | 1 | 2% |
Other | 4 | 9% |
Unknown | 23 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 21 September 2023.
All research outputs
#7,854,962
of 25,392,582 outputs
Outputs from IEEE Reviews in Biomedical Engineering
#80
of 152 outputs
Outputs of similar age
#144,945
of 474,025 outputs
Outputs of similar age from IEEE Reviews in Biomedical Engineering
#5
of 22 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 152 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 474,025 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 69% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.