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GenoCAD Tutorials

Overview of attention for research output published on figshare, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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Title
GenoCAD Tutorials
Published on
figshare, January 2013
DOI 10.6084/m9.figshare.153827
Authors

Mandy Wilson, Mary, Mangan, Mandy, Wilson, , Laura Adam, Jean, Peccoud, Jean Peccoud, Laura Adam, Mandy Wilson, Mangan, Mary, Wilson, Mandy, Laura Adam, , Peccoud, Jean

Abstract

This tutorial includes two PowerPoint presentations developed by Mary Mangan from OpenHelix. Students should start with the Introduction prior to moving on to the Advanced tutorial. The slides decks include numerous comments that will help students go through the tutorials. In order to perform the hands on activities students need to download the GenoCAD Training Set. This dataset includes a list of parts and a grammar used as part of the GenoCAD Introductory tutorial. In order to import this data set in GenoCAD, proceed as follows: 1- Log into GenoCAD, create an account if you don't already have one.  2- Click on the Parts tab.  3- Click on the Grammars tab.  4- Click on the Add/Import Grammar button.  5- Using the "choose file" button, select the grammar file (.genocad) and click on import grammar.  6- Click on "use existing icon set" and click on "continue import". Upon completion of this procedure you should have a new grammar with a library of 37 parts in your workspace.     The tutorial also includes a series of additional exercises that will be used to reinforce the concepts introduced in the tutorial.  Please visit the GenoCAD page for videos of the tutotials.     

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 24 September 2014.
All research outputs
#1,394,106
of 24,887,826 outputs
Outputs from figshare
#648
of 25,013 outputs
Outputs of similar age
#12,770
of 290,812 outputs
Outputs of similar age from figshare
#6
of 515 outputs
Altmetric has tracked 24,887,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,013 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 97% 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 290,812 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 515 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.