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Emulating complex simulations by machine learning methods

Overview of attention for article published in BMC Bioinformatics, November 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
6 X users

Citations

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8 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Emulating complex simulations by machine learning methods
Published in
BMC Bioinformatics, November 2021
DOI 10.1186/s12859-021-04354-7
Pubmed ID
Authors

Paola Stolfi, Filippo Castiglione

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 7%
Student > Ph. D. Student 2 7%
Student > Master 2 7%
Student > Doctoral Student 1 4%
Lecturer 1 4%
Other 1 4%
Unknown 18 67%
Readers by discipline Count As %
Unspecified 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Agricultural and Biological Sciences 1 4%
Decision Sciences 1 4%
Neuroscience 1 4%
Other 1 4%
Unknown 20 74%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 November 2021.
All research outputs
#15,484,645
of 24,998,746 outputs
Outputs from BMC Bioinformatics
#4,701
of 7,630 outputs
Outputs of similar age
#213,084
of 429,542 outputs
Outputs of similar age from BMC Bioinformatics
#114
of 164 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,630 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 35th percentile – i.e., 35% 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 429,542 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.