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Single-cell analysis of menstrual endometrial tissues defines phenotypes associated with endometriosis

Overview of attention for article published in BMC Medicine, September 2022
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Citations

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26 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Single-cell analysis of menstrual endometrial tissues defines phenotypes associated with endometriosis
Published in
BMC Medicine, September 2022
DOI 10.1186/s12916-022-02500-3
Pubmed ID
Authors

Andrew J. Shih, Robert P. Adelson, Himanshu Vashistha, Houman Khalili, Ashima Nayyar, Radha Puran, Rixsi Herrera, Prodyot K. Chatterjee, Annette T. Lee, Alexander M. Truskinovsky, Kristine Elmaliki, Margaret DeFranco, Christine N. Metz, Peter K. Gregersen

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 14%
Student > Ph. D. Student 7 12%
Other 3 5%
Student > Postgraduate 3 5%
Student > Doctoral Student 2 4%
Other 6 11%
Unknown 28 49%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 16%
Medicine and Dentistry 7 12%
Agricultural and Biological Sciences 2 4%
Linguistics 1 2%
Nursing and Health Professions 1 2%
Other 8 14%
Unknown 29 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 336. 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 13 July 2023.
All research outputs
#96,609
of 25,138,857 outputs
Outputs from BMC Medicine
#95
of 3,937 outputs
Outputs of similar age
#2,970
of 425,036 outputs
Outputs of similar age from BMC Medicine
#6
of 146 outputs
Altmetric has tracked 25,138,857 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,937 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.6. This one has done particularly well, scoring higher than 97% 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 425,036 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 99% of its contemporaries.
We're also able to compare this research output to 146 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 96% of its contemporaries.