↓ Skip to main content

WeFold: A coopetition for protein structure prediction

Overview of attention for article published in Proteins: Structure, Function, and Bioinformatics, July 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#44 of 3,789)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
1 blog
twitter
16 X users
facebook
1 Facebook page
f1000
1 research highlight platform

Readers on

mendeley
117 Mendeley
citeulike
2 CiteULike
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.
Article details
Title
WeFold: A coopetition for protein structure prediction
Published in
Proteins: Structure, Function, and Bioinformatics, July 2014
DOI 10.1002/prot.24538
Pubmed ID
Authors
Abstract

The protein structure prediction problem continues to elude scientists. Despite the introduction of many methods, only modest gains were made over the last decade for certain classes of prediction targets. To address this challenge, a social-media based worldwide collaborative effort, named WeFold, was undertaken by 13 labs. During the collaboration, the laboratories were simultaneously competing with each other. Here, we present the first attempt at "coopetition" in scientific research applied to the protein structure prediction and refinement problems. The coopetition was possible by allowing the participating labs to contribute different components of their protein structure prediction pipelines and create new hybrid pipelines that they tested during CASP10. This manuscript describes both successes and areas needing improvement as identified throughout the first WeFold experiment and discusses the efforts that are underway to advance this initiative. A footprint of all contributions and structures are publicly accessible at http://www.wefold.org.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Singapore 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Czechia 1 <1%
Canada 1 <1%
Unknown 111 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 28 24%
Researcher 26 22%
Student > Master 12 10%
Professor 9 8%
Professor > Associate Professor 8 7%
Other 22 19%
Unknown 12 10%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 23 20%
Biochemistry, Genetics and Molecular Biology 17 15%
Computer Science 16 14%
Business, Management and Accounting 8 7%
Chemistry 8 7%
Other 30 26%
Unknown 15 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 19 April 2019.
All research outputs
#2,288,884
of 32,896,196 outputs
Outputs from Proteins: Structure, Function, and Bioinformatics
#44
of 3,789 outputs
Outputs of similar age
#19,030
of 262,932 outputs
Outputs of similar age from Proteins: Structure, Function, and Bioinformatics
#1
of 50 outputs
Altmetric has tracked 32,896,196 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,789 research outputs from this source. They receive a mean Attention Score of 3.9. 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 262,932 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 92% of its contemporaries.
We're also able to compare this research output to 50 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 98% of its contemporaries.