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A model to explain specific cellular communications and cellular harmony:- a hypothesis of coupled cells and interactive coupling molecules

Overview of attention for article published in Theoretical Biology and Medical Modelling, September 2014
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  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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3 X users

Citations

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2 Dimensions

Readers on

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15 Mendeley
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Title
A model to explain specific cellular communications and cellular harmony:- a hypothesis of coupled cells and interactive coupling molecules
Published in
Theoretical Biology and Medical Modelling, September 2014
DOI 10.1186/1742-4682-11-40
Pubmed ID
Authors

Cyril J Craven

Abstract

The various cell types and their relative numbers in multicellular organisms are controlled by growth factors and related extracellular molecules which affect genetic expression pathways. However, these substances may have both/either inhibitory and/or stimulatory effects on cell division and cell differentiation depending on the cellular environment. It is not known how cells respond to these substances in such an ambiguous way. Many cellular effects have been investigated and reported using cell culture from cancer cell lines in an effort to define normal cellular behaviour using these abnormal cells.A model is offered to explain the harmony of cellular life in multicellular organisms involving interacting extracellular substances.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 33%
Student > Ph. D. Student 3 20%
Student > Doctoral Student 2 13%
Other 2 13%
Student > Bachelor 2 13%
Other 0 0%
Unknown 1 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 33%
Pharmacology, Toxicology and Pharmaceutical Science 2 13%
Medicine and Dentistry 2 13%
Computer Science 1 7%
Agricultural and Biological Sciences 1 7%
Other 2 13%
Unknown 2 13%
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 14 September 2014.
All research outputs
#14,785,250
of 22,763,032 outputs
Outputs from Theoretical Biology and Medical Modelling
#163
of 287 outputs
Outputs of similar age
#135,666
of 245,954 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#4
of 12 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 41st percentile – i.e., 41% 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 245,954 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.