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I-TASSER server for protein 3D structure prediction

Overview of attention for article published in BMC Bioinformatics, January 2008
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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 (85th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter
wikipedia
7 Wikipedia pages

Citations

dimensions_citation
3738 Dimensions

Readers on

mendeley
2568 Mendeley
citeulike
11 CiteULike
connotea
1 Connotea
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Title
I-TASSER server for protein 3D structure prediction
Published in
BMC Bioinformatics, January 2008
DOI 10.1186/1471-2105-9-40
Pubmed ID
Authors

Yang Zhang

Abstract

Prediction of 3-dimensional protein structures from amino acid sequences represents one of the most important problems in computational structural biology. The community-wide Critical Assessment of Structure Prediction (CASP) experiments have been designed to obtain an objective assessment of the state-of-the-art of the field, where I-TASSER was ranked as the best method in the server section of the recent 7th CASP experiment. Our laboratory has since then received numerous requests about the public availability of the I-TASSER algorithm and the usage of the I-TASSER predictions.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 2,568 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 <1%
United Kingdom 15 <1%
Brazil 14 <1%
Germany 8 <1%
India 6 <1%
France 6 <1%
Spain 5 <1%
Colombia 4 <1%
Argentina 3 <1%
Other 36 1%
Unknown 2456 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 656 26%
Student > Master 417 16%
Student > Bachelor 372 14%
Researcher 322 13%
Student > Doctoral Student 168 7%
Other 331 13%
Unknown 302 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 860 33%
Biochemistry, Genetics and Molecular Biology 709 28%
Chemistry 211 8%
Immunology and Microbiology 61 2%
Computer Science 58 2%
Other 290 11%
Unknown 379 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 25 March 2021.
All research outputs
#2,320,882
of 18,925,022 outputs
Outputs from BMC Bioinformatics
#859
of 6,471 outputs
Outputs of similar age
#32,903
of 228,538 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 18,925,022 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,471 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 86% 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 228,538 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 85% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them