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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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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
17 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
Authors

Markos Antonopoulos, Dimitra Dionysiou, Georgios Stamatakos, Nikolaos Uzunoglu

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Student > Master 3 18%
Researcher 3 18%
Student > Doctoral Student 2 12%
Student > Bachelor 1 6%
Other 2 12%
Unknown 1 6%
Readers by discipline Count As %
Engineering 3 18%
Mathematics 3 18%
Computer Science 3 18%
Physics and Astronomy 1 6%
Agricultural and Biological Sciences 1 6%
Other 5 29%
Unknown 1 6%

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 02 September 2020.
All research outputs
#11,058,633
of 17,108,355 outputs
Outputs from BMC Bioinformatics
#4,312
of 6,085 outputs
Outputs of similar age
#160,674
of 267,866 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 17,108,355 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,085 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 20th percentile – i.e., 20% 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 267,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them