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X Demographics
Mendeley readers
Attention Score in Context
Title |
An Introductory Overview of Image-Based Computational Modeling in Personalized Cardiovascular Medicine
|
---|---|
Published in |
Frontiers in Bioengineering and Biotechnology, September 2020
|
DOI | 10.3389/fbioe.2020.529365 |
Pubmed ID | |
Authors |
Thanh Danh Nguyen, Olufemi E. Kadri, Roman S. Voronov |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 33% |
United States | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
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 | 10 | 26% |
Researcher | 6 | 16% |
Student > Bachelor | 5 | 13% |
Student > Doctoral Student | 2 | 5% |
Other | 2 | 5% |
Other | 5 | 13% |
Unknown | 8 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 11 | 29% |
Medicine and Dentistry | 5 | 13% |
Computer Science | 4 | 11% |
Nursing and Health Professions | 2 | 5% |
Agricultural and Biological Sciences | 2 | 5% |
Other | 2 | 5% |
Unknown | 12 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 25 September 2020.
All research outputs
#14,505,209
of 23,243,271 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,981
of 6,915 outputs
Outputs of similar age
#225,803
of 409,454 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#135
of 351 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,915 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 68% 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 409,454 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 351 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 59% of its contemporaries.