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Quantification of intracellular nucleotide sugars and formulation of a mathematical model for prediction of their metabolism

Overview of attention for article published in BMC Proceedings, November 2011
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Quantification of intracellular nucleotide sugars and formulation of a mathematical model for prediction of their metabolism
Published in
BMC Proceedings, November 2011
DOI 10.1186/1753-6561-5-s8-p10
Pubmed ID
Authors

Ioscani Jiménez del Val, Judit M Nagy, Cleo Kontoravdi

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 38%
Student > Ph. D. Student 2 25%
Student > Postgraduate 1 13%
Unknown 2 25%
Readers by discipline Count As %
Engineering 2 25%
Agricultural and Biological Sciences 2 25%
Chemistry 1 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Unknown 2 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 November 2017.
All research outputs
#9,718,169
of 12,154,160 outputs
Outputs from BMC Proceedings
#193
of 277 outputs
Outputs of similar age
#197,636
of 279,743 outputs
Outputs of similar age from BMC Proceedings
#1
of 2 outputs
Altmetric has tracked 12,154,160 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 277 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 18th percentile – i.e., 18% 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 279,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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