↓ Skip to main content

Bioengineering thermodynamics of biological cells

Overview of attention for article published in Theoretical Biology and Medical Modelling, December 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user
googleplus
1 Google+ user

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
68 Mendeley
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
Bioengineering thermodynamics of biological cells
Published in
Theoretical Biology and Medical Modelling, December 2015
DOI 10.1186/s12976-015-0024-z
Pubmed ID
Authors

Umberto Lucia

Abstract

Cells are open complex thermodynamic systems. They can be also regarded as complex engines that execute a series of chemical reactions. Energy transformations, thermo-electro-chemical processes and transports phenomena can occur across the cells membranes. Moreover, cells can also actively modify their behaviours in relation to changes in their environment. Different thermo-electro-biochemical behaviours occur between health and disease states. But, all the living systems waste heat, which is no more than the result of their internal irreversibility. This heat is dissipated into the environment. But, this wasted heat represent also a sort of information, which outflows from the cell toward its environment, completely accessible to any observer. The analysis of irreversibility related to this wasted heat can represent a new approach to study the behaviour of the cells themselves and to control their behaviours. So, this approach allows us to consider the living systems as black boxes and analyze only the inflows and outflows and their changes in relation to the modification of the environment. Therefore, information on the systems can be obtained by analyzing the changes in the cell heat wasted in relation to external perturbations. The bioengineering thermodynamics bases are summarized and used to analyse possible controls of the calls behaviours based on the control of the ions fluxes across the cells membranes.

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Unknown 66 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 18%
Student > Ph. D. Student 10 15%
Student > Bachelor 8 12%
Student > Master 8 12%
Student > Doctoral Student 4 6%
Other 7 10%
Unknown 19 28%
Readers by discipline Count As %
Engineering 9 13%
Agricultural and Biological Sciences 8 12%
Physics and Astronomy 7 10%
Biochemistry, Genetics and Molecular Biology 6 9%
Computer Science 3 4%
Other 15 22%
Unknown 20 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 January 2024.
All research outputs
#15,174,511
of 25,388,229 outputs
Outputs from Theoretical Biology and Medical Modelling
#140
of 286 outputs
Outputs of similar age
#199,619
of 396,178 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#3
of 3 outputs
Altmetric has tracked 25,388,229 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 286 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 48th percentile – i.e., 48% 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 396,178 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.