| Title |
Random gene sets in predicting survival of patients with hepatocellular carcinoma
|
|---|---|
| Published in |
Journal of Molecular Medicine, April 2019
|
| DOI | 10.1007/s00109-019-01764-2 |
| Pubmed ID | |
| Authors |
Timo Itzel, Rainer Spang, Thorsten Maass, Stefan Munker, Stephanie Roessler, Matthias P. Ebert, Hans J. Schlitt, Wolfgang Herr, Matthias Evert, Andreas Teufel |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 21% |
| Student > Ph. D. Student | 4 | 17% |
| Student > Master | 3 | 13% |
| Lecturer | 2 | 8% |
| Student > Doctoral Student | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 46% |
| Engineering | 2 | 8% |
| Business, Management and Accounting | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 4 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 April 2019.
All research outputs
#14,446,516
of 23,142,049 outputs
Outputs from Journal of Molecular Medicine
#1,084
of 1,558 outputs
Outputs of similar age
#194,142
of 350,034 outputs
Outputs of similar age from Journal of Molecular Medicine
#8
of 25 outputs
Altmetric has tracked 23,142,049 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,558 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 350,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 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 60% of its contemporaries.