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X Demographics
Mendeley readers
Attention Score in Context
Title |
VCNet: Hybrid Deep Learning Model for Detection and Classification of Lung Carcinoma Using Chest Radiographs
|
---|---|
Published in |
Frontiers in Public Health, June 2022
|
DOI | 10.3389/fpubh.2022.894920 |
Pubmed ID | |
Authors |
Ritu Tandon, Shweta Agrawal, Arthur Chang, Shahab S. Band |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 12% |
Student > Ph. D. Student | 3 | 9% |
Lecturer | 2 | 6% |
Student > Bachelor | 1 | 3% |
Professor | 1 | 3% |
Other | 4 | 12% |
Unknown | 18 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 24% |
Environmental Science | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 20 | 61% |
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 07 July 2022.
All research outputs
#21,566,851
of 26,473,472 outputs
Outputs from Frontiers in Public Health
#8,498
of 14,996 outputs
Outputs of similar age
#337,047
of 450,110 outputs
Outputs of similar age from Frontiers in Public Health
#657
of 1,274 outputs
Altmetric has tracked 26,473,472 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,996 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 28th percentile – i.e., 28% 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 450,110 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,274 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.