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A network analysis to identify lung cancer comorbid diseases

Overview of attention for article published in Applied Network Science, May 2022
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Mentioned by

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2 X users

Citations

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6 Dimensions

Readers on

mendeley
26 Mendeley
Title
A network analysis to identify lung cancer comorbid diseases
Published in
Applied Network Science, May 2022
DOI 10.1007/s41109-022-00466-y
Authors

Heru C. Rustamaji, Yustina S. Suharini, Angga A. Permana, Wisnu A. Kusuma, Sri Nurdiati, Irmanida Batubara, Taufik Djatna

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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 4 15%
Student > Bachelor 3 12%
Researcher 2 8%
Other 2 8%
Unspecified 1 4%
Other 2 8%
Unknown 12 46%
Readers by discipline Count As %
Computer Science 6 23%
Chemistry 3 12%
Agricultural and Biological Sciences 1 4%
Unspecified 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 1 4%
Unknown 13 50%
Attention Score in Context

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 19 May 2022.
All research outputs
#18,146,485
of 23,312,088 outputs
Outputs from Applied Network Science
#395
of 513 outputs
Outputs of similar age
#296,890
of 442,053 outputs
Outputs of similar age from Applied Network Science
#17
of 24 outputs
Altmetric has tracked 23,312,088 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 513 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 8th percentile – i.e., 8% 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 442,053 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.