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MOLGENIS research: advanced bioinformatics data software for non-bioinformaticians

Overview of attention for article published in Bioinformatics, August 2018
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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16 X users

Citations

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59 Dimensions

Readers on

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76 Mendeley
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Title
MOLGENIS research: advanced bioinformatics data software for non-bioinformaticians
Published in
Bioinformatics, August 2018
DOI 10.1093/bioinformatics/bty742
Pubmed ID
Authors

K Joeri van der Velde, Floris Imhann, Bart Charbon, Chao Pang, David van Enckevort, Mariska Slofstra, Ruggero Barbieri, Rudi Alberts, Dennis Hendriksen, Fleur Kelpin, Mark de Haan, Tommy de Boer, Sido Haakma, Connor Stroomberg, Salome Scholtens, Gert-Jan van de Geijn, Eleonora A M Festen, Rinse K Weersma, Morris A Swertz

Abstract

The volume and complexity of biological data increases rapidly. Many clinical professionals and biomedical researchers without a bioinformatics background are generating big '-omics' data, but do not always have the tools to manage, process or publicly share these data. Here we present MOLGENIS Research, an open-source web-application to collect, manage, analyze, visualize and share large and complex biomedical data sets, without the need for advanced bioinformatics skills. MOLGENIS Research is freely available (open source software). It can be installed from source code (see http://github.com/molgenis), downloaded as a precompiled WAR file (for your own server), setup inside a Docker container (see http://molgenis.github.io), or requested as a Software-as-a-Service subscription. For a public demo instance and complete installation instructions see http://molgenis.org/research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 25%
Student > Ph. D. Student 16 21%
Student > Master 8 11%
Student > Bachelor 5 7%
Other 3 4%
Other 7 9%
Unknown 18 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 26%
Medicine and Dentistry 10 13%
Computer Science 7 9%
Agricultural and Biological Sciences 6 8%
Business, Management and Accounting 2 3%
Other 7 9%
Unknown 24 32%
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 13 January 2024.
All research outputs
#2,948,951
of 25,159,758 outputs
Outputs from Bioinformatics
#2,382
of 12,328 outputs
Outputs of similar age
#56,464
of 340,256 outputs
Outputs of similar age from Bioinformatics
#58
of 288 outputs
Altmetric has tracked 25,159,758 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 12,328 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 80% 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 340,256 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 83% of its contemporaries.
We're also able to compare this research output to 288 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.