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iMAP: integration of multiple single-cell datasets by adversarial paired transfer networks

Overview of attention for article published in Genome Biology (Online Edition), February 2021
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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 (92nd percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
28 tweeters

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
77 Mendeley
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Title
iMAP: integration of multiple single-cell datasets by adversarial paired transfer networks
Published in
Genome Biology (Online Edition), February 2021
DOI 10.1186/s13059-021-02280-8
Pubmed ID
Authors

Dongfang Wang, Siyu Hou, Lei Zhang, Xiliang Wang, Baolin Liu, Zemin Zhang

Twitter Demographics

The data shown below were collected from the profiles of 28 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Researcher 10 13%
Student > Master 7 9%
Student > Doctoral Student 3 4%
Student > Bachelor 3 4%
Other 5 6%
Unknown 35 45%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 22%
Computer Science 11 14%
Agricultural and Biological Sciences 4 5%
Medicine and Dentistry 4 5%
Immunology and Microbiology 2 3%
Other 4 5%
Unknown 35 45%

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 April 2021.
All research outputs
#937,754
of 21,298,857 outputs
Outputs from Genome Biology (Online Edition)
#796
of 4,017 outputs
Outputs of similar age
#24,767
of 313,173 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 21,298,857 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 4,017 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has done well, scoring higher than 80% 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 313,173 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 92% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them