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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Using Artificial Intelligence for Automatic Segmentation of CT Lung Images in Acute Respiratory Distress Syndrome
|
---|---|
Published in |
Frontiers in Physiology, September 2021
|
DOI | 10.3389/fphys.2021.676118 |
Pubmed ID | |
Authors |
Peter Herrmann, Mattia Busana, Massimo Cressoni, Joachim Lotz, Onnen Moerer, Leif Saager, Konrad Meissner, Michael Quintel, Luciano Gattinoni |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
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 > Ph. D. Student | 3 | 9% |
Student > Doctoral Student | 3 | 9% |
Student > Bachelor | 2 | 6% |
Other | 2 | 6% |
Researcher | 2 | 6% |
Other | 5 | 15% |
Unknown | 17 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 24% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Engineering | 2 | 6% |
Computer Science | 2 | 6% |
Nursing and Health Professions | 1 | 3% |
Other | 1 | 3% |
Unknown | 18 | 53% |
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 04 October 2021.
All research outputs
#18,145,205
of 23,310,485 outputs
Outputs from Frontiers in Physiology
#7,373
of 14,045 outputs
Outputs of similar age
#292,920
of 430,035 outputs
Outputs of similar age from Frontiers in Physiology
#374
of 723 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,045 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 40th percentile – i.e., 40% 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 430,035 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 723 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.