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Molecular Cloning Designer Simulator (MCDS): All-in-one molecular cloning and genetic engineering design, simulation and management software for complex synthetic biology and metabolic engineering…

Overview of attention for article published in Metabolic Engineering Communications, May 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 152)
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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22 X users

Citations

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6 Dimensions

Readers on

mendeley
78 Mendeley
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Title
Molecular Cloning Designer Simulator (MCDS): All-in-one molecular cloning and genetic engineering design, simulation and management software for complex synthetic biology and metabolic engineering projects
Published in
Metabolic Engineering Communications, May 2016
DOI 10.1016/j.meteno.2016.05.003
Pubmed ID
Authors

Zhenyu Shi, Claudia E. Vickers

Abstract

Molecular Cloning Designer Simulator (MCDS) is a powerful new all-in-one cloning and genetic engineering design, simulation and management software platform developed for complex synthetic biology and metabolic engineering projects. In addition to standard functions, it has a number of features that are either unique, or are not found in combination in any one software package: (1) it has a novel interactive flow-chart user interface for complex multi-step processes, allowing an integrated overview of the whole project; (2) it can perform a user-defined workflow of cloning steps in a single execution of the software; (3) it can handle multiple types of genetic recombineering, a technique that is rapidly replacing classical cloning for many applications; (4) it includes experimental information to conveniently guide wet lab work; and (5) it can store results and comments to allow the tracking and management of the whole project in one platform. MCDS is freely available from https://mcds.codeplex.com.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Kenya 1 1%
United Kingdom 1 1%
Mexico 1 1%
United States 1 1%
Unknown 73 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 21%
Student > Bachelor 12 15%
Student > Ph. D. Student 11 14%
Student > Master 9 12%
Lecturer 5 6%
Other 14 18%
Unknown 11 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 24%
Agricultural and Biological Sciences 15 19%
Engineering 7 9%
Computer Science 6 8%
Social Sciences 3 4%
Other 13 17%
Unknown 15 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 03 February 2022.
All research outputs
#2,977,909
of 25,373,627 outputs
Outputs from Metabolic Engineering Communications
#12
of 152 outputs
Outputs of similar age
#46,970
of 326,216 outputs
Outputs of similar age from Metabolic Engineering Communications
#2
of 5 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 152 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 92% 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 326,216 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
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. This one has scored higher than 3 of them.