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At a glance: Cellular biology for engineers

Overview of attention for article published in Computational Biology & Chemistry, July 2008
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Title
At a glance: Cellular biology for engineers
Published in
Computational Biology & Chemistry, July 2008
DOI 10.1016/j.compbiolchem.2008.07.010
Pubmed ID
Authors

K. Khoshmanesh, A.Z. Kouzani, S. Nahavandi, S. Baratchi, J.R. Kanwar

Abstract

Engineering contributions have played an important role in the rise and evolution of cellular biology. Engineering technologies have helped biologists to explore the living organisms at cellular and molecular levels, and have created new opportunities to tackle the unsolved biological problems. There is now a growing demand to further expand the role of engineering in cellular biology research. For an engineer to play an effective role in cellular biology, the first essential step is to understand the cells and their components. However, the stumbling block of this step is to comprehend the information given in the cellular biology literature because it best suits the readers with a biological background. This paper aims to overcome this bottleneck by describing the human cell components as micro-plants that form cells as micro-bio-factories. This concept can accelerate the engineers' comprehension of the subject. In this paper, first the structure and function of different cell components are described. In addition, the engineering attempts to mimic various cell components through numerical modelling or physical implementation are highlighted. Next, the interaction of different cell components that facilitate complicated chemical processes, such as energy generation and protein synthesis, are described. These complex interactions are translated into simple flow diagrams, generally used by engineers to represent multi-component processes.

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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 7%
Malaysia 1 1%
Czechia 1 1%
Turkey 1 1%
Mexico 1 1%
United Kingdom 1 1%
Poland 1 1%
Serbia 1 1%
Unknown 76 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 25%
Researcher 16 18%
Student > Master 12 13%
Professor 8 9%
Student > Bachelor 8 9%
Other 18 20%
Unknown 5 6%
Readers by discipline Count As %
Engineering 24 27%
Agricultural and Biological Sciences 23 26%
Biochemistry, Genetics and Molecular Biology 6 7%
Computer Science 6 7%
Chemistry 4 4%
Other 15 17%
Unknown 11 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 June 2017.
All research outputs
#14,599,900
of 25,373,627 outputs
Outputs from Computational Biology & Chemistry
#338
of 882 outputs
Outputs of similar age
#79,358
of 95,869 outputs
Outputs of similar age from Computational Biology & Chemistry
#5
of 5 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 882 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 60% 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 95,869 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.