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Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney

Overview of attention for article published in Cell & Bioscience, June 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Readers on

mendeley
26 Mendeley
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Title
Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney
Published in
Cell & Bioscience, June 2022
DOI 10.1186/s13578-022-00801-x
Pubmed ID
Authors

Hongwei Wu, Fanna Liu, Yu Shangguan, Yane Yang, Wei Shi, Wenlong Hu, Zhipeng Zeng, Nan Hu, Xinzhou Zhang, Berthold Hocher, Donge Tang, Lianghong Yin, Yong Dai

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 15%
Student > Master 3 12%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Student > Postgraduate 2 8%
Other 4 15%
Unknown 9 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 27%
Agricultural and Biological Sciences 3 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Immunology and Microbiology 1 4%
Medicine and Dentistry 1 4%
Other 2 8%
Unknown 11 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 15 July 2022.
All research outputs
#3,371,407
of 24,079,942 outputs
Outputs from Cell & Bioscience
#81
of 1,052 outputs
Outputs of similar age
#73,082
of 432,584 outputs
Outputs of similar age from Cell & Bioscience
#7
of 65 outputs
Altmetric has tracked 24,079,942 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,052 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 91% 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 432,584 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.