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X Demographics
Mendeley readers
Attention Score in Context
Title |
Artificial intelligence in echocardiography: detection, functional evaluation, and disease diagnosis
|
---|---|
Published in |
Cardiovascular Ultrasound, August 2021
|
DOI | 10.1186/s12947-021-00261-2 |
Pubmed ID | |
Authors |
Jia Zhou, Meng Du, Shuai Chang, Zhiyi Chen |
X Demographics
The data shown below were collected from the profiles of 37 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 | 6 | 16% |
Ecuador | 2 | 5% |
Switzerland | 1 | 3% |
Mexico | 1 | 3% |
India | 1 | 3% |
Sweden | 1 | 3% |
Brazil | 1 | 3% |
Spain | 1 | 3% |
Austria | 1 | 3% |
Other | 3 | 8% |
Unknown | 19 | 51% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 31 | 84% |
Practitioners (doctors, other healthcare professionals) | 3 | 8% |
Science communicators (journalists, bloggers, editors) | 2 | 5% |
Scientists | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 106 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 8% |
Researcher | 6 | 6% |
Student > Master | 6 | 6% |
Other | 5 | 5% |
Student > Bachelor | 4 | 4% |
Other | 14 | 13% |
Unknown | 62 | 58% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 18% |
Engineering | 8 | 8% |
Computer Science | 4 | 4% |
Unspecified | 3 | 3% |
Nursing and Health Professions | 2 | 2% |
Other | 4 | 4% |
Unknown | 66 | 62% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 29 March 2024.
All research outputs
#2,099,450
of 25,808,886 outputs
Outputs from Cardiovascular Ultrasound
#19
of 330 outputs
Outputs of similar age
#48,634
of 439,100 outputs
Outputs of similar age from Cardiovascular Ultrasound
#1
of 5 outputs
Altmetric has tracked 25,808,886 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 330 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 94% 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 439,100 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them