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The poly-omics of ageing through individual-based metabolic modelling

Overview of attention for article published in BMC Bioinformatics, November 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
4 X users
patent
1 patent

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
76 Mendeley
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Title
The poly-omics of ageing through individual-based metabolic modelling
Published in
BMC Bioinformatics, November 2018
DOI 10.1186/s12859-018-2383-z
Pubmed ID
Authors

Elisabeth Yaneske, Claudio Angione

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 22%
Student > Master 9 12%
Student > Bachelor 7 9%
Researcher 5 7%
Student > Doctoral Student 4 5%
Other 6 8%
Unknown 28 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 25%
Medicine and Dentistry 6 8%
Engineering 5 7%
Agricultural and Biological Sciences 4 5%
Computer Science 3 4%
Other 9 12%
Unknown 30 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 06 July 2022.
All research outputs
#6,420,020
of 24,022,746 outputs
Outputs from BMC Bioinformatics
#2,307
of 7,493 outputs
Outputs of similar age
#126,074
of 444,331 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 180 outputs
Altmetric has tracked 24,022,746 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,493 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 68% 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 444,331 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 71% of its contemporaries.
We're also able to compare this research output to 180 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 71% of its contemporaries.