↓ Skip to main content

Multi-omics discovery of exome-derived neoantigens in hepatocellular carcinoma

Overview of attention for article published in Genome Medicine, April 2019
Altmetric Badge

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 (82nd percentile)

Mentioned by

twitter
16 tweeters
patent
1 patent

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
146 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Multi-omics discovery of exome-derived neoantigens in hepatocellular carcinoma
Published in
Genome Medicine, April 2019
DOI 10.1186/s13073-019-0636-8
Pubmed ID
Authors

Markus W. Löffler, Christopher Mohr, Leon Bichmann, Lena Katharina Freudenmann, Mathias Walzer, Christopher M. Schroeder, Nico Trautwein, Franz J. Hilke, Raphael S. Zinser, Lena Mühlenbruch, Daniel J. Kowalewski, Heiko Schuster, Marc Sturm, Jakob Matthes, Olaf Riess, Stefan Czemmel, Sven Nahnsen, Ingmar Königsrainer, Karolin Thiel, Silvio Nadalin, Stefan Beckert, Hans Bösmüller, Falko Fend, Ana Velic, Boris Maček, Sebastian P. Haen, Luigi Buonaguro, Oliver Kohlbacher, Stefan Stevanović, Alfred Königsrainer, Hans-Georg Rammensee

Twitter Demographics

The data shown below were collected from the profiles of 16 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 146 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 26%
Student > Ph. D. Student 21 14%
Student > Master 17 12%
Student > Bachelor 12 8%
Other 7 5%
Other 18 12%
Unknown 33 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 29%
Medicine and Dentistry 16 11%
Agricultural and Biological Sciences 16 11%
Immunology and Microbiology 14 10%
Computer Science 5 3%
Other 10 7%
Unknown 43 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 11 November 2021.
All research outputs
#2,375,755
of 21,108,726 outputs
Outputs from Genome Medicine
#551
of 1,346 outputs
Outputs of similar age
#49,975
of 287,484 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 21,108,726 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,346 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 gotten more attention than average, scoring higher than 59% 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 287,484 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% 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