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Three-dimensional tumor growth in time-varying chemical fields: a modeling framework and theoretical study

Overview of attention for article published in BMC Bioinformatics, August 2019
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Mentioned by

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2 X users

Citations

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8 Dimensions

Readers on

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26 Mendeley
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Title
Three-dimensional tumor growth in time-varying chemical fields: a modeling framework and theoretical study
Published in
BMC Bioinformatics, August 2019
DOI 10.1186/s12859-019-2997-9
Pubmed ID
Authors

Markos Antonopoulos, Dimitra Dionysiou, Georgios Stamatakos, Nikolaos Uzunoglu

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 %
Student > Ph. D. Student 6 23%
Student > Doctoral Student 4 15%
Student > Master 3 12%
Researcher 3 12%
Lecturer 1 4%
Other 4 15%
Unknown 5 19%
Readers by discipline Count As %
Mathematics 4 15%
Engineering 4 15%
Computer Science 3 12%
Agricultural and Biological Sciences 2 8%
Biochemistry, Genetics and Molecular Biology 2 8%
Other 6 23%
Unknown 5 19%
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 29 August 2019.
All research outputs
#19,013,042
of 24,226,848 outputs
Outputs from BMC Bioinformatics
#6,139
of 7,512 outputs
Outputs of similar age
#243,312
of 344,223 outputs
Outputs of similar age from BMC Bioinformatics
#85
of 97 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,512 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 13th percentile – i.e., 13% 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 344,223 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 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.