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Single-cell transcriptomic analysis of eutopic endometrium and ectopic lesions of adenomyosis

Overview of attention for article published in Cell & Bioscience, March 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
14 Mendeley
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Title
Single-cell transcriptomic analysis of eutopic endometrium and ectopic lesions of adenomyosis
Published in
Cell & Bioscience, March 2021
DOI 10.1186/s13578-021-00562-z
Pubmed ID
Authors

Zhiyong Liu, Zhonghua Sun, Hongyun Liu, Weipin Niu, Xin Wang, Na Liang, Xin Wang, Yanfei Wang, Yaxin Shi, Li Xu, Wei Shi

Twitter Demographics

The data shown below were collected from the profiles of 4 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Student > Bachelor 3 21%
Student > Ph. D. Student 1 7%
Student > Master 1 7%
Student > Doctoral Student 1 7%
Other 0 0%
Unknown 5 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 29%
Biochemistry, Genetics and Molecular Biology 3 21%
Medicine and Dentistry 1 7%
Engineering 1 7%
Unknown 5 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 March 2021.
All research outputs
#10,815,243
of 18,846,561 outputs
Outputs from Cell & Bioscience
#150
of 648 outputs
Outputs of similar age
#150,702
of 311,915 outputs
Outputs of similar age from Cell & Bioscience
#1
of 1 outputs
Altmetric has tracked 18,846,561 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 648 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 75% 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 311,915 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
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