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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 tweeters
patent
1 patent

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
69 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

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 23%
Student > Master 9 13%
Student > Bachelor 6 9%
Unspecified 6 9%
Researcher 5 7%
Other 10 14%
Unknown 17 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 26%
Unspecified 8 12%
Medicine and Dentistry 5 7%
Agricultural and Biological Sciences 4 6%
Engineering 4 6%
Other 12 17%
Unknown 18 26%

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
#5,990,956
of 22,792,160 outputs
Outputs from BMC Bioinformatics
#2,225
of 7,280 outputs
Outputs of similar age
#123,069
of 435,464 outputs
Outputs of similar age from BMC Bioinformatics
#52
of 181 outputs
Altmetric has tracked 22,792,160 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 7,280 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 69% 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 435,464 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 181 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.