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Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity

Overview of attention for article published in Cell & Bioscience, July 2021
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
61 Mendeley
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Title
Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity
Published in
Cell & Bioscience, July 2021
DOI 10.1186/s13578-021-00637-x
Pubmed ID
Authors

Junyan Ma, Liqi Zhang, Hong Zhan, Yun Mo, Zuanjie Ren, Anwen Shao, Jun Lin

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 11%
Researcher 7 11%
Student > Bachelor 6 10%
Student > Master 4 7%
Student > Doctoral Student 3 5%
Other 9 15%
Unknown 25 41%
Readers by discipline Count As %
Medicine and Dentistry 11 18%
Biochemistry, Genetics and Molecular Biology 9 15%
Agricultural and Biological Sciences 6 10%
Unspecified 3 5%
Computer Science 2 3%
Other 5 8%
Unknown 25 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 July 2021.
All research outputs
#15,685,238
of 23,308,124 outputs
Outputs from Cell & Bioscience
#411
of 977 outputs
Outputs of similar age
#254,766
of 439,812 outputs
Outputs of similar age from Cell & Bioscience
#29
of 64 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 977 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 50% 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 439,812 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.