↓ Skip to main content

ProteinNet: a standardized data set for machine learning of protein structure

Overview of attention for article published in BMC Bioinformatics, June 2019
Altmetric Badge

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)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
23 X users

Citations

dimensions_citation
111 Dimensions

Readers on

mendeley
235 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
ProteinNet: a standardized data set for machine learning of protein structure
Published in
BMC Bioinformatics, June 2019
DOI 10.1186/s12859-019-2932-0
Pubmed ID
Authors

Mohammed AlQuraishi

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 235 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 235 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 22%
Researcher 41 17%
Student > Master 26 11%
Student > Bachelor 18 8%
Student > Doctoral Student 11 5%
Other 26 11%
Unknown 62 26%
Readers by discipline Count As %
Computer Science 46 20%
Biochemistry, Genetics and Molecular Biology 41 17%
Agricultural and Biological Sciences 16 7%
Chemistry 13 6%
Engineering 9 4%
Other 33 14%
Unknown 77 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 21 July 2020.
All research outputs
#2,406,861
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#716
of 7,387 outputs
Outputs of similar age
#53,027
of 354,287 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 190 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,387 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 90% 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 354,287 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 190 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 90% of its contemporaries.