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A novel low-parameter computational model to aid in-silico glycoengineering

Overview of attention for article published in BMC Proceedings, December 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Readers on

mendeley
7 Mendeley
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Title
A novel low-parameter computational model to aid in-silico glycoengineering
Published in
BMC Proceedings, December 2015
DOI 10.1186/1753-6561-9-s9-p26
Authors

Philipp N Spahn, Anders H Hansen, Henning G Hansen, Johnny Arnsdorf, Helene F Kildegaard, Nathan E Lewis

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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 43%
Student > Master 2 29%
Student > Doctoral Student 1 14%
Student > Ph. D. Student 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 43%
Engineering 2 29%
Agricultural and Biological Sciences 1 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 14%
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 24 November 2016.
All research outputs
#6,963,891
of 22,835,198 outputs
Outputs from BMC Proceedings
#87
of 375 outputs
Outputs of similar age
#110,371
of 389,737 outputs
Outputs of similar age from BMC Proceedings
#5
of 16 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 375 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 76% 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 389,737 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 70% of its contemporaries.
We're also able to compare this research output to 16 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 68% of its contemporaries.