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X Demographics
Mendeley readers
Attention Score in Context
Title |
Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, June 2021
|
DOI | 10.1186/s12911-021-01535-5 |
Pubmed ID | |
Authors |
Jingyi Zhang, Huolan Zhu, Yongkai Chen, Chenguang Yang, Huimin Cheng, Yi Li, Wenxuan Zhong, Fang Wang |
X Demographics
The data shown below were collected from the profiles of 52 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 10% |
India | 3 | 6% |
United Kingdom | 2 | 4% |
Canada | 1 | 2% |
Nigeria | 1 | 2% |
Switzerland | 1 | 2% |
Egypt | 1 | 2% |
Germany | 1 | 2% |
Peru | 1 | 2% |
Other | 6 | 12% |
Unknown | 30 | 58% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 48 | 92% |
Scientists | 4 | 8% |
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 % |
---|---|---|
Student > Bachelor | 5 | 14% |
Student > Master | 3 | 9% |
Researcher | 2 | 6% |
Professor | 2 | 6% |
Student > Doctoral Student | 2 | 6% |
Other | 6 | 17% |
Unknown | 15 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 6 | 17% |
Computer Science | 5 | 14% |
Medicine and Dentistry | 4 | 11% |
Nursing and Health Professions | 2 | 6% |
Business, Management and Accounting | 1 | 3% |
Other | 2 | 6% |
Unknown | 15 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 22 August 2021.
All research outputs
#1,549,400
of 25,593,129 outputs
Outputs from BMC Medical Informatics and Decision Making
#72
of 2,154 outputs
Outputs of similar age
#39,427
of 459,542 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 63 outputs
Altmetric has tracked 25,593,129 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 459,542 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 63 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 98% of its contemporaries.