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Structural Evolution of the Protein Kinase–Like Superfamily

Overview of attention for article published in PLoS Computational Biology, October 2005
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

Citations

dimensions_citation
225 Dimensions

Readers on

mendeley
302 Mendeley
citeulike
11 CiteULike
connotea
1 Connotea
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Title
Structural Evolution of the Protein Kinase–Like Superfamily
Published in
PLoS Computational Biology, October 2005
DOI 10.1371/journal.pcbi.0010049
Pubmed ID
Authors

Eric D Scheeff, Philip E Bourne

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 302 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 5%
United Kingdom 6 2%
Germany 2 <1%
France 2 <1%
Norway 1 <1%
Brazil 1 <1%
Mexico 1 <1%
Belgium 1 <1%
India 1 <1%
Other 4 1%
Unknown 269 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 73 24%
Student > Ph. D. Student 69 23%
Student > Bachelor 36 12%
Student > Master 33 11%
Professor 14 5%
Other 39 13%
Unknown 38 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 132 44%
Biochemistry, Genetics and Molecular Biology 58 19%
Chemistry 31 10%
Computer Science 10 3%
Medicine and Dentistry 6 2%
Other 20 7%
Unknown 45 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 July 2021.
All research outputs
#7,363,939
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#4,996
of 8,964 outputs
Outputs of similar age
#23,000
of 71,999 outputs
Outputs of similar age from PLoS Computational Biology
#9
of 20 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 43rd percentile – i.e., 43% 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 71,999 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.