↓ Skip to main content

MultiMAP: dimensionality reduction and integration of multimodal data

Overview of attention for article published in Genome Biology (Online Edition), December 2021
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

blogs
1 blog
twitter
50 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
103 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
MultiMAP: dimensionality reduction and integration of multimodal data
Published in
Genome Biology (Online Edition), December 2021
DOI 10.1186/s13059-021-02565-y
Pubmed ID
Authors

Mika Sarkin Jain, Krzysztof Polanski, Cecilia Dominguez Conde, Xi Chen, Jongeun Park, Lira Mamanova, Andrew Knights, Rachel A. Botting, Emily Stephenson, Muzlifah Haniffa, Austen Lamacraft, Mirjana Efremova, Sarah A. Teichmann

Twitter Demographics

The data shown below were collected from the profiles of 50 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 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 23%
Student > Ph. D. Student 22 21%
Student > Bachelor 8 8%
Student > Master 7 7%
Student > Postgraduate 3 3%
Other 8 8%
Unknown 31 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 25%
Computer Science 18 17%
Agricultural and Biological Sciences 10 10%
Mathematics 5 5%
Immunology and Microbiology 3 3%
Other 10 10%
Unknown 31 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 June 2022.
All research outputs
#1,081,446
of 22,699,621 outputs
Outputs from Genome Biology (Online Edition)
#901
of 4,102 outputs
Outputs of similar age
#27,220
of 494,215 outputs
Outputs of similar age from Genome Biology (Online Edition)
#34
of 91 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,102 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 78% 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 494,215 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 91 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 62% of its contemporaries.