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Artificial Intelligence System Application in Miliary Lung Metastasis: Experience from a Rare Case

Overview of attention for article published in Risk Management and Healthcare Policy, July 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Readers on

mendeley
12 Mendeley
Title
Artificial Intelligence System Application in Miliary Lung Metastasis: Experience from a Rare Case
Published in
Risk Management and Healthcare Policy, July 2021
DOI 10.2147/rmhp.s315152
Pubmed ID
Authors

Yu Zhang, Yan Chen, Kun Li, Wen Jiang, Bi-Cheng Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 8%
Other 1 8%
Student > Bachelor 1 8%
Professor 1 8%
Student > Ph. D. Student 1 8%
Other 1 8%
Unknown 6 50%
Readers by discipline Count As %
Medicine and Dentistry 2 17%
Nursing and Health Professions 1 8%
Unspecified 1 8%
Social Sciences 1 8%
Engineering 1 8%
Other 0 0%
Unknown 6 50%
Attention Score in Context

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 16 July 2021.
All research outputs
#15,154,377
of 23,308,124 outputs
Outputs from Risk Management and Healthcare Policy
#329
of 647 outputs
Outputs of similar age
#239,986
of 442,548 outputs
Outputs of similar age from Risk Management and Healthcare Policy
#38
of 70 outputs
Altmetric has tracked 23,308,124 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 647 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 45th percentile – i.e., 45% 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 442,548 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.