↓ Skip to main content

pedigreejs: a web-based graphical pedigree editor

Overview of attention for article published in Bioinformatics, October 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

twitter
10 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
16 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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/). tjc29@cam.ac.uk.

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Researcher 4 25%
Unspecified 3 19%
Student > Master 3 19%
Other 2 13%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 25%
Unspecified 4 25%
Biochemistry, Genetics and Molecular Biology 3 19%
Computer Science 2 13%
Arts and Humanities 1 6%
Other 2 13%

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
#2,963,575
of 12,662,564 outputs
Outputs from Bioinformatics
#3,189
of 8,378 outputs
Outputs of similar age
#87,545
of 314,307 outputs
Outputs of similar age from Bioinformatics
#65
of 182 outputs
Altmetric has tracked 12,662,564 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,378 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 61% 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 314,307 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 71% of its contemporaries.
We're also able to compare this research output to 182 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 64% of its contemporaries.