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X Demographics
Mendeley readers
Attention Score in Context
Title |
Development and Validation of a Risk Stratification Model of Pulmonary Ground-Glass Nodules Based on Complementary Lung-RADS 1.1 and Deep Learning Scores
|
---|---|
Published in |
Frontiers in Public Health, May 2022
|
DOI | 10.3389/fpubh.2022.891306 |
Pubmed ID | |
Authors |
Qingcheng Meng, Bing Li, Pengrui Gao, Wentao Liu, Peijin Zhou, Jia Ding, Jiaqi Zhang, Hong Ge |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
Netherlands | 1 | 25% |
Switzerland | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 1 | 10% |
Professor | 1 | 10% |
Student > Ph. D. Student | 1 | 10% |
Researcher | 1 | 10% |
Student > Master | 1 | 10% |
Other | 0 | 0% |
Unknown | 5 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 20% |
Unspecified | 1 | 10% |
Medicine and Dentistry | 1 | 10% |
Engineering | 1 | 10% |
Unknown | 5 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 2022.
All research outputs
#15,630,207
of 23,853,707 outputs
Outputs from Frontiers in Public Health
#4,580
of 11,686 outputs
Outputs of similar age
#233,670
of 429,049 outputs
Outputs of similar age from Frontiers in Public Health
#354
of 1,120 outputs
Altmetric has tracked 23,853,707 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,686 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 55% 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 429,049 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,120 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.