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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine Learning and Feature Selection Methods for Disease Classification With Application to Lung Cancer Screening Image Data
|
---|---|
Published in |
Frontiers in oncology, December 2019
|
DOI | 10.3389/fonc.2019.01393 |
Pubmed ID | |
Authors |
Darcie A. P. Delzell, Sara Magnuson, Tabitha Peter, Michelle Smith, Brian J. Smith |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 104 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 13% |
Student > Master | 10 | 10% |
Researcher | 9 | 9% |
Student > Bachelor | 7 | 7% |
Student > Postgraduate | 4 | 4% |
Other | 10 | 10% |
Unknown | 50 | 48% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 11% |
Engineering | 8 | 8% |
Computer Science | 8 | 8% |
Biochemistry, Genetics and Molecular Biology | 7 | 7% |
Physics and Astronomy | 5 | 5% |
Other | 9 | 9% |
Unknown | 56 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 16 December 2019.
All research outputs
#14,551,795
of 25,806,763 outputs
Outputs from Frontiers in oncology
#3,632
of 22,805 outputs
Outputs of similar age
#226,741
of 481,508 outputs
Outputs of similar age from Frontiers in oncology
#90
of 441 outputs
Altmetric has tracked 25,806,763 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,805 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 83% 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 481,508 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 441 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.