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Decoy selection for protein structure prediction via extreme gradient boosting and ranking

Overview of attention for article published in BMC Bioinformatics, December 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Decoy selection for protein structure prediction via extreme gradient boosting and ranking
Published in
BMC Bioinformatics, December 2020
DOI 10.1186/s12859-020-3523-9
Authors

Nasrin Akhter, Gopinath Chennupati, Hristo Djidjev, Amarda Shehu

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Doctoral Student 1 10%
Student > Ph. D. Student 1 10%
Student > Bachelor 1 10%
Student > Master 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 4 40%
Physics and Astronomy 1 10%
Medicine and Dentistry 1 10%
Engineering 1 10%
Unknown 3 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 December 2020.
All research outputs
#13,616,709
of 22,258,349 outputs
Outputs from BMC Bioinformatics
#4,405
of 7,144 outputs
Outputs of similar age
#264,577
of 500,328 outputs
Outputs of similar age from BMC Bioinformatics
#294
of 480 outputs
Altmetric has tracked 22,258,349 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,144 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 500,328 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 480 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.