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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 20% |
| United Kingdom | 2 | 13% |
| United States | 1 | 7% |
| India | 1 | 7% |
| Hong Kong | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 5 | 33% |
| Science communicators (journalists, bloggers, editors) | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 158 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 24% |
| Student > Ph. D. Student | 25 | 16% |
| Student > Master | 15 | 9% |
| Student > Bachelor | 13 | 8% |
| Other | 9 | 6% |
| Other | 18 | 11% |
| Unknown | 40 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 42 | 27% |
| Agricultural and Biological Sciences | 18 | 11% |
| Immunology and Microbiology | 17 | 11% |
| Medicine and Dentistry | 16 | 10% |
| Computer Science | 6 | 4% |
| Other | 9 | 6% |
| Unknown | 50 | 32% |
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
#2,674,845
of 23,567,572 outputs
Outputs from Genome Medicine
#611
of 1,466 outputs
Outputs of similar age
#58,354
of 351,093 outputs
Outputs of similar age from Genome Medicine
#10
of 22 outputs
Altmetric has tracked 23,567,572 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 1,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has gotten more attention than average, scoring higher than 58% 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 351,093 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 83% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.