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High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification

Overview of attention for article published in Genome Medicine, July 2021
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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 (91st percentile)

Mentioned by

blogs
1 blog
twitter
24 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
38 Mendeley
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Title
High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification
Published in
Genome Medicine, July 2021
DOI 10.1186/s13073-021-00922-x
Pubmed ID
Authors

Siel Olbrecht, Pieter Busschaert, Junbin Qian, Adriaan Vanderstichele, Liselore Loverix, Toon Van Gorp, Els Van Nieuwenhuysen, Sileny Han, Annick Van den Broeck, An Coosemans, Anne-Sophie Van Rompuy, Diether Lambrechts, Ignace Vergote

Twitter Demographics

The data shown below were collected from the profiles of 24 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 16%
Student > Master 4 11%
Student > Doctoral Student 3 8%
Student > Bachelor 3 8%
Student > Ph. D. Student 3 8%
Other 5 13%
Unknown 14 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 21%
Biochemistry, Genetics and Molecular Biology 6 16%
Immunology and Microbiology 4 11%
Medicine and Dentistry 4 11%
Computer Science 1 3%
Other 0 0%
Unknown 15 39%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 17 August 2021.
All research outputs
#1,195,682
of 19,404,461 outputs
Outputs from Genome Medicine
#263
of 1,286 outputs
Outputs of similar age
#29,736
of 336,767 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 19,404,461 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,286 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.5. This one has done well, scoring higher than 79% 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 336,767 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 91% of its contemporaries.
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