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pedigreejs: a web-based graphical pedigree editor

Overview of attention for article published in Bioinformatics, October 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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7 X users

Citations

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9 Dimensions

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27 Mendeley
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Title
pedigreejs: a web-based graphical pedigree editor
Published in
Bioinformatics, October 2017
DOI 10.1093/bioinformatics/btx705
Pubmed ID
Authors

Tim Carver, Alex P Cunningham, Chantal Babb de Villiers, Andrew Lee, Simon Hartley, Marc Tischkowitz, Fiona M Walter, Douglas F Easton, Antonis C Antoniou

Abstract

The collection, management and visualisation of clinical pedigree (family history) data is a core activity in clinical genetics centres. However, clinical pedigree datasets can be difficult to manage, as they are time consuming to capture, and can be difficult to build, manipulate and visualise graphically. Several standalone graphical pedigree editors and drawing applications exist but there are no freely available lightweight graphical pedigree editors that can be easily configured and incorporated into web applications. We developed 'pedigreejs', an interactive graphical pedigree editor written in JavaScript, which uses standard pedigree nomenclature. Pedigreejs provides an easily configurable, extensible and lightweight pedigree editor. It makes use of an open-source Javascript library to define a hierarchical layout and to produce images in scalable vector graphics (SVG) format that can be viewed and edited in web browsers. The software is freely available under GPL licence (https://ccge-boadicea.github.io/pedigreejs/). [email protected].

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Ph. D. Student 4 15%
Student > Master 3 11%
Other 2 7%
Professor 1 4%
Other 1 4%
Unknown 10 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 15%
Agricultural and Biological Sciences 4 15%
Computer Science 3 11%
Psychology 2 7%
Medicine and Dentistry 1 4%
Other 1 4%
Unknown 12 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 March 2018.
All research outputs
#6,534,944
of 23,577,761 outputs
Outputs from Bioinformatics
#4,217
of 9,035 outputs
Outputs of similar age
#105,831
of 330,333 outputs
Outputs of similar age from Bioinformatics
#96
of 217 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 9,035 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 53% 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 330,333 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 217 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 54% of its contemporaries.