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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, 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)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
27 X users

Citations

dimensions_citation
36 Dimensions

Readers on

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

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

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 14%
Student > Ph. D. Student 14 14%
Student > Master 9 9%
Student > Bachelor 5 5%
Student > Doctoral Student 3 3%
Other 8 8%
Unknown 44 45%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 18%
Computer Science 12 12%
Agricultural and Biological Sciences 5 5%
Medicine and Dentistry 5 5%
Unspecified 3 3%
Other 7 7%
Unknown 48 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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
#1,173,043
of 25,387,668 outputs
Outputs from Genome Biology
#878
of 4,470 outputs
Outputs of similar age
#33,109
of 454,158 outputs
Outputs of similar age from Genome Biology
#29
of 92 outputs
Altmetric has tracked 25,387,668 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 4,470 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 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 454,158 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 92 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 68% of its contemporaries.