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X Demographics
Mendeley readers
Attention Score in Context
Title |
Risk Factors for Patient–Ventilator Asynchrony and Its Impact on Clinical Outcomes: Analytics Based on Deep Learning Algorithm
|
---|---|
Published in |
Frontiers in Medicine, November 2020
|
DOI | 10.3389/fmed.2020.597406 |
Pubmed ID | |
Authors |
Huiqing Ge, Kailiang Duan, Jimei Wang, Liuqing Jiang, Lingwei Zhang, Yuhan Zhou, Luping Fang, Leo M. A. Heunks, Qing Pan, Zhongheng Zhang |
X Demographics
The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 6 | 19% |
Chile | 2 | 6% |
Uruguay | 1 | 3% |
Colombia | 1 | 3% |
Ecuador | 1 | 3% |
Spain | 1 | 3% |
Argentina | 1 | 3% |
Unknown | 18 | 58% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 30 | 97% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 19% |
Student > Bachelor | 3 | 11% |
Student > Ph. D. Student | 3 | 11% |
Other | 2 | 7% |
Lecturer | 2 | 7% |
Other | 2 | 7% |
Unknown | 10 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 5 | 19% |
Medicine and Dentistry | 4 | 15% |
Engineering | 3 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
Computer Science | 1 | 4% |
Other | 2 | 7% |
Unknown | 10 | 37% |
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 12 June 2021.
All research outputs
#2,114,264
of 26,123,112 outputs
Outputs from Frontiers in Medicine
#617
of 7,411 outputs
Outputs of similar age
#56,341
of 532,150 outputs
Outputs of similar age from Frontiers in Medicine
#21
of 248 outputs
Altmetric has tracked 26,123,112 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 7,411 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done particularly well, scoring higher than 91% 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 532,150 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 89% of its contemporaries.
We're also able to compare this research output to 248 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 91% of its contemporaries.