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Cracking the O-GlcNAc code in metabolism

Overview of attention for article published in Trends in Endocrinology & Metabolism, May 2013
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  • 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
3 X users
googleplus
1 Google+ user

Citations

dimensions_citation
193 Dimensions

Readers on

mendeley
204 Mendeley
citeulike
1 CiteULike
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Title
Cracking the O-GlcNAc code in metabolism
Published in
Trends in Endocrinology & Metabolism, May 2013
DOI 10.1016/j.tem.2013.02.002
Pubmed ID
Authors

Hai-Bin Ruan, Jay Prakash Singh, Min-Dian Li, Jing Wu, Xiaoyong Yang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
United Kingdom 3 1%
France 2 <1%
China 2 <1%
Portugal 1 <1%
South Africa 1 <1%
Japan 1 <1%
India 1 <1%
Unknown 189 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 21%
Student > Ph. D. Student 38 19%
Student > Master 24 12%
Student > Bachelor 19 9%
Student > Postgraduate 13 6%
Other 34 17%
Unknown 33 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 32%
Biochemistry, Genetics and Molecular Biology 50 25%
Medicine and Dentistry 19 9%
Chemistry 18 9%
Immunology and Microbiology 6 3%
Other 11 5%
Unknown 35 17%
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 05 August 2013.
All research outputs
#8,880,246
of 26,017,215 outputs
Outputs from Trends in Endocrinology & Metabolism
#867
of 1,610 outputs
Outputs of similar age
#74,034
of 208,518 outputs
Outputs of similar age from Trends in Endocrinology & Metabolism
#10
of 17 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,610 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 29th percentile – i.e., 29% 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 208,518 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.