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Mapping cellular interactions from spatially resolved transcriptomics data

Overview of attention for article published in Nature Methods, September 2024
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
54 X users

Readers on

mendeley
33 Mendeley
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Title
Mapping cellular interactions from spatially resolved transcriptomics data
Published in
Nature Methods, September 2024
DOI 10.1038/s41592-024-02408-1
Pubmed ID
Authors

James Zhu, Yunguan Wang, Woo Yong Chang, Alicia Malewska, Fabiana Napolitano, Jeffrey C. Gahan, Nisha Unni, Min Zhao, Rongqing Yuan, Fangjiang Wu, Lauren Yue, Lei Guo, Zhuo Zhao, Danny Z. Chen, Raquibul Hannan, Siyuan Zhang, Guanghua Xiao, Ping Mu, Ariella B. Hanker, Douglas Strand, Carlos L. Arteaga, Neil Desai, Xinlei Wang, Yang Xie, Tao Wang

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 54 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 27%
Student > Ph. D. Student 6 18%
Other 3 9%
Professor > Associate Professor 3 9%
Unspecified 3 9%
Other 4 12%
Unknown 5 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 33%
Neuroscience 4 12%
Unspecified 3 9%
Agricultural and Biological Sciences 3 9%
Computer Science 2 6%
Other 3 9%
Unknown 7 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 58. 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 19 September 2024.
All research outputs
#789,972
of 26,233,985 outputs
Outputs from Nature Methods
#1,024
of 5,583 outputs
Outputs of similar age
#5,877
of 177,787 outputs
Outputs of similar age from Nature Methods
#12
of 74 outputs
Altmetric has tracked 26,233,985 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,583 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.9. This one has done well, scoring higher than 81% 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 177,787 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 96% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.