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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Using Innovative Machine Learning Methods to Screen and Identify Predictors of Congenital Heart Diseases
|
---|---|
Published in |
Frontiers in Cardiovascular Medicine, January 2022
|
DOI | 10.3389/fcvm.2021.797002 |
Pubmed ID | |
Authors |
Yanji Qu, Xinlei Deng, Shao Lin, Fengzhen Han, Howard H. Chang, Yanqiu Ou, Zhiqiang Nie, Jinzhuang Mai, Ximeng Wang, Xiangmin Gao, Yong Wu, Jimei Chen, Jian Zhuang, Ian Ryan, Xiaoqing Liu |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 2 | 40% |
Switzerland | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 18% |
Unspecified | 4 | 12% |
Researcher | 4 | 12% |
Student > Ph. D. Student | 4 | 12% |
Student > Bachelor | 2 | 6% |
Other | 4 | 12% |
Unknown | 10 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 4 | 12% |
Medicine and Dentistry | 4 | 12% |
Nursing and Health Professions | 4 | 12% |
Business, Management and Accounting | 2 | 6% |
Environmental Science | 2 | 6% |
Other | 7 | 21% |
Unknown | 11 | 32% |
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 20 January 2022.
All research outputs
#7,413,859
of 22,950,943 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,196
of 6,848 outputs
Outputs of similar age
#165,434
of 502,136 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#139
of 818 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 6,848 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 82% 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 502,136 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 66% of its contemporaries.
We're also able to compare this research output to 818 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.