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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Survival prediction models since liver transplantation - comparisons between Cox models and machine learning techniques
|
|---|---|
| Published in |
BMC Medical Research Methodology, November 2020
|
| DOI | 10.1186/s12874-020-01153-1 |
| Pubmed ID | |
| Authors |
Georgios Kantidakis, Hein Putter, Carlo Lancia, Jacob de Boer, Andries E. Braat, Marta Fiocco |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 12% |
| Student > Ph. D. Student | 7 | 10% |
| Student > Doctoral Student | 7 | 10% |
| Researcher | 6 | 9% |
| Student > Bachelor | 4 | 6% |
| Other | 16 | 24% |
| Unknown | 20 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 24% |
| Mathematics | 9 | 13% |
| Engineering | 5 | 7% |
| Computer Science | 5 | 7% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 24 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 07 March 2021.
All research outputs
#13,481,258
of 23,263,851 outputs
Outputs from BMC Medical Research Methodology
#1,280
of 2,056 outputs
Outputs of similar age
#179,821
of 378,747 outputs
Outputs of similar age from BMC Medical Research Methodology
#33
of 49 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 36th percentile – i.e., 36% 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 378,747 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.