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Predicting lung cancer's metastats' locations using bioclinical model

Overview of attention for article published in Frontiers in Medicine, May 2024
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Mentioned by

reddit
1 Redditor

Readers on

mendeley
5 Mendeley
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Title
Predicting lung cancer's metastats' locations using bioclinical model
Published in
Frontiers in Medicine, May 2024
DOI 10.3389/fmed.2024.1388702
Pubmed ID
Authors

Teddy Lazebnik, Svetlana Bunimovich-Mendrazitsky

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Student > Bachelor 1 20%
Student > Doctoral Student 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Unspecified 1 20%
Nursing and Health Professions 1 20%
Medicine and Dentistry 1 20%
Engineering 1 20%
Unknown 1 20%
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 07 June 2024.
All research outputs
#23,428,750
of 26,101,087 outputs
Outputs from Frontiers in Medicine
#6,577
of 7,406 outputs
Outputs of similar age
#163,178
of 203,400 outputs
Outputs of similar age from Frontiers in Medicine
#56
of 77 outputs
Altmetric has tracked 26,101,087 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,406 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one is in the 1st percentile – i.e., 1% 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 203,400 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.