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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Novel deep learning-based solution for identification of prognostic subgroups in liver cancer (Hepatocellular carcinoma)
|
|---|---|
| Published in |
BMC Bioinformatics, November 2021
|
| DOI | 10.1186/s12859-021-04454-4 |
| Pubmed ID | |
| Authors |
Alice R. Owens, Caitríona E. McInerney, Kevin M. Prise, Darragh G. McArt, Anna Jurek-Loughrey |
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 % |
|---|---|---|
| United Kingdom | 8 | 53% |
| United States | 2 | 13% |
| Sweden | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 80% |
| Scientists | 3 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 10% |
| Researcher | 1 | 10% |
| Other | 1 | 10% |
| Student > Master | 1 | 10% |
| Unknown | 6 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Sports and Recreations | 1 | 10% |
| Physics and Astronomy | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Unknown | 6 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 20 January 2023.
All research outputs
#1,586,336
of 24,998,746 outputs
Outputs from BMC Bioinformatics
#257
of 7,630 outputs
Outputs of similar age
#37,718
of 515,519 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 165 outputs
Altmetric has tracked 24,998,746 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 7,630 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 96% 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 515,519 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 92% of its contemporaries.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.