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The SET-domain protein superfamily: protein lysine methyltransferases

Overview of attention for article published in Genome Biology, August 2005
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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 (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
1 X user
patent
2 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
660 Dimensions

Readers on

mendeley
768 Mendeley
citeulike
2 CiteULike
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Title
The SET-domain protein superfamily: protein lysine methyltransferases
Published in
Genome Biology, August 2005
DOI 10.1186/gb-2005-6-8-227
Pubmed ID
Authors

Shane C Dillon, Xing Zhang, Raymond C Trievel, Xiaodong Cheng

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 768 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 <1%
United States 4 <1%
Netherlands 2 <1%
Germany 2 <1%
France 2 <1%
Canada 2 <1%
Australia 1 <1%
Turkey 1 <1%
Russia 1 <1%
Other 3 <1%
Unknown 744 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 217 28%
Researcher 118 15%
Student > Master 89 12%
Student > Bachelor 85 11%
Student > Doctoral Student 41 5%
Other 84 11%
Unknown 134 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 253 33%
Biochemistry, Genetics and Molecular Biology 212 28%
Chemistry 46 6%
Medicine and Dentistry 33 4%
Immunology and Microbiology 13 2%
Other 61 8%
Unknown 150 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 January 2021.
All research outputs
#5,239,707
of 25,371,288 outputs
Outputs from Genome Biology
#2,860
of 4,467 outputs
Outputs of similar age
#12,332
of 68,170 outputs
Outputs of similar age from Genome Biology
#9
of 23 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 68,170 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 81% of its contemporaries.
We're also able to compare this research output to 23 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 60% of its contemporaries.