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X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine Learning for the Prediction of Complications in Patients After Mitral Valve Surgery
|
---|---|
Published in |
Frontiers in Cardiovascular Medicine, December 2021
|
DOI | 10.3389/fcvm.2021.771246 |
Pubmed ID | |
Authors |
Haiye Jiang, Leping Liu, Yongjun Wang, Hongwen Ji, Xianjun Ma, Jingyi Wu, Yuanshuai Huang, Xinhua Wang, Rong Gui, Qinyu Zhao, Bingyu Chen |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 21% |
Student > Bachelor | 1 | 4% |
Professor | 1 | 4% |
Student > Doctoral Student | 1 | 4% |
Student > Master | 1 | 4% |
Other | 3 | 13% |
Unknown | 12 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 21% |
Unspecified | 2 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
Nursing and Health Professions | 1 | 4% |
Computer Science | 1 | 4% |
Other | 1 | 4% |
Unknown | 12 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 18 December 2021.
All research outputs
#18,341,711
of 22,714,025 outputs
Outputs from Frontiers in Cardiovascular Medicine
#3,124
of 6,600 outputs
Outputs of similar age
#355,421
of 496,760 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#349
of 791 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,600 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 36th percentile – i.e., 36% 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 496,760 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 791 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.