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X Demographics
Mendeley readers
Attention Score in Context
Title |
High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification
|
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Published in |
Genome Medicine, July 2021
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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 |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Belgium | 5 | 22% |
Norway | 3 | 13% |
China | 3 | 13% |
Italy | 2 | 9% |
United Kingdom | 1 | 4% |
Ireland | 1 | 4% |
Unknown | 8 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 61% |
Scientists | 9 | 39% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 139 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 14% |
Student > Ph. D. Student | 14 | 10% |
Student > Master | 13 | 9% |
Student > Bachelor | 10 | 7% |
Student > Doctoral Student | 8 | 6% |
Other | 14 | 10% |
Unknown | 61 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 30 | 22% |
Agricultural and Biological Sciences | 16 | 12% |
Medicine and Dentistry | 12 | 9% |
Immunology and Microbiology | 10 | 7% |
Computer Science | 3 | 2% |
Other | 3 | 2% |
Unknown | 65 | 47% |
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
#1,731,031
of 25,597,324 outputs
Outputs from Genome Medicine
#378
of 1,599 outputs
Outputs of similar age
#42,025
of 450,693 outputs
Outputs of similar age from Genome Medicine
#9
of 43 outputs
Altmetric has tracked 25,597,324 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 1,599 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done well, scoring higher than 76% 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 450,693 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 90% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.