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The Enzyme Portal: a case study in applying user-centred design methods in bioinformatics

Overview of attention for article published in BMC Bioinformatics, March 2013
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About this Attention Score

  • In the top 5% 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 (97th percentile)

Mentioned by

blogs
2 blogs
twitter
21 X users
facebook
1 Facebook page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
104 Mendeley
citeulike
4 CiteULike
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Title
The Enzyme Portal: a case study in applying user-centred design methods in bioinformatics
Published in
BMC Bioinformatics, March 2013
DOI 10.1186/1471-2105-14-103
Pubmed ID
Authors

Paula de Matos, Jennifer A Cham, Hong Cao, Rafael Alcántara, Francis Rowland, Rodrigo Lopez, Christoph Steinbeck

Abstract

User-centred design (UCD) is a type of user interface design in which the needs and desires of users are taken into account at each stage of the design process for a service or product; often for software applications and websites. Its goal is to facilitate the design of software that is both useful and easy to use. To achieve this, you must characterise users' requirements, design suitable interactions to meet their needs, and test your designs using prototypes and real life scenarios.For bioinformatics, there is little practical information available regarding how to carry out UCD in practice. To address this we describe a complete, multi-stage UCD process used for creating a new bioinformatics resource for integrating enzyme information, called the Enzyme Portal (http://www.ebi.ac.uk/enzymeportal). This freely-available service mines and displays data about proteins with enzymatic activity from public repositories via a single search, and includes biochemical reactions, biological pathways, small molecule chemistry, disease information, 3D protein structures and relevant scientific literature.We employed several UCD techniques, including: persona development, interviews, 'canvas sort' card sorting, user workflows, usability testing and others. Our hope is that this case study will motivate the reader to apply similar UCD approaches to their own software design for bioinformatics. Indeed, we found the benefits included more effective decision-making for design ideas and technologies; enhanced team-working and communication; cost effectiveness; and ultimately a service that more closely meets the needs of our target audience.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
United States 2 2%
Denmark 2 2%
Uruguay 1 <1%
France 1 <1%
Brazil 1 <1%
Unknown 95 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 18%
Student > Ph. D. Student 18 17%
Student > Master 17 16%
Student > Bachelor 11 11%
Professor > Associate Professor 8 8%
Other 22 21%
Unknown 9 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 26%
Computer Science 21 20%
Engineering 7 7%
Design 6 6%
Biochemistry, Genetics and Molecular Biology 6 6%
Other 22 21%
Unknown 15 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 06 September 2013.
All research outputs
#1,211,250
of 24,829,155 outputs
Outputs from BMC Bioinformatics
#127
of 7,593 outputs
Outputs of similar age
#8,927
of 202,022 outputs
Outputs of similar age from BMC Bioinformatics
#4
of 145 outputs
Altmetric has tracked 24,829,155 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,593 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 98% 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 202,022 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 145 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 97% of its contemporaries.