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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
SlicerHeart: An open-source computing platform for cardiac image analysis and modeling
|
---|---|
Published in |
Frontiers in Cardiovascular Medicine, September 2022
|
DOI | 10.3389/fcvm.2022.886549 |
Pubmed ID | |
Authors |
Andras Lasso, Christian Herz, Hannah Nam, Alana Cianciulli, Steve Pieper, Simon Drouin, Csaba Pinter, Samuelle St-Onge, Chad Vigil, Stephen Ching, Kyle Sunderland, Gabor Fichtinger, Ron Kikinis, Matthew A. Jolley |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 33% |
Japan | 1 | 6% |
United Kingdom | 1 | 6% |
France | 1 | 6% |
Canada | 1 | 6% |
Switzerland | 1 | 6% |
Unknown | 7 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 67% |
Scientists | 5 | 28% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 20% |
Student > Ph. D. Student | 4 | 11% |
Unspecified | 1 | 3% |
Lecturer | 1 | 3% |
Student > Master | 1 | 3% |
Other | 0 | 0% |
Unknown | 21 | 60% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 14% |
Engineering | 4 | 11% |
Computer Science | 2 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Unspecified | 1 | 3% |
Other | 0 | 0% |
Unknown | 22 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 13 November 2022.
All research outputs
#2,453,374
of 23,103,436 outputs
Outputs from Frontiers in Cardiovascular Medicine
#279
of 7,024 outputs
Outputs of similar age
#51,568
of 433,077 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#29
of 1,057 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,024 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 96% 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 433,077 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 1,057 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.