↓ Skip to main content

Why Increase of Heterogeneity Signals Pre-Deterioration During Tumor Progression: A Unified Mathematical Model

Overview of attention for article published in SIAM Journal on Applied Mathematics, April 2023
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Why Increase of Heterogeneity Signals Pre-Deterioration During Tumor Progression: A Unified Mathematical Model
Published in
SIAM Journal on Applied Mathematics, April 2023
DOI 10.1137/22m1497729
Authors

Yuanling Niu, Hao Kang, Pingyang Wang, Chenchen Guo, Fan Nie, Hongbin Ji, Jiarui Wu, Luonan Chen

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 11 May 2023.
All research outputs
#4,291,146
of 23,746,606 outputs
Outputs from SIAM Journal on Applied Mathematics
#56
of 692 outputs
Outputs of similar age
#47,688
of 264,378 outputs
Outputs of similar age from SIAM Journal on Applied Mathematics
#1
of 30 outputs
Altmetric has tracked 23,746,606 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 692 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 92% 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 264,378 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.