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Identification of protein functions using a machine-learning approach based on sequence-derived properties

Overview of attention for article published in Proteome Science, August 2009
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About this Attention Score

  • Among the highest-scoring outputs from this source (#40 of 193)

Mentioned by

patent
2 patents

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
87 Mendeley
citeulike
2 CiteULike
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Title
Identification of protein functions using a machine-learning approach based on sequence-derived properties
Published in
Proteome Science, August 2009
DOI 10.1186/1477-5956-7-27
Pubmed ID
Authors

Bum Ju Lee, Moon Sun Shin, Young Joon Oh, Hae Seok Oh, Keun Ho Ryu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
Colombia 1 1%
France 1 1%
Israel 1 1%
Hungary 1 1%
United Kingdom 1 1%
India 1 1%
Spain 1 1%
Denmark 1 1%
Other 0 0%
Unknown 75 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 23%
Student > Ph. D. Student 17 20%
Student > Master 14 16%
Student > Bachelor 5 6%
Lecturer 4 5%
Other 12 14%
Unknown 15 17%
Readers by discipline Count As %
Computer Science 26 30%
Agricultural and Biological Sciences 25 29%
Biochemistry, Genetics and Molecular Biology 9 10%
Chemistry 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 6 7%
Unknown 16 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 June 2022.
All research outputs
#7,610,760
of 23,205,257 outputs
Outputs from Proteome Science
#40
of 193 outputs
Outputs of similar age
#38,063
of 112,521 outputs
Outputs of similar age from Proteome Science
#1
of 4 outputs
Altmetric has tracked 23,205,257 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 58% 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 112,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 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