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 |
Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression
|
|---|---|
| Published in |
BMC Bioinformatics, December 2021
|
| DOI | 10.1186/s12859-021-04483-z |
| Pubmed ID | |
| Authors |
Katrin Madjar, Manuela Zucknick, Katja Ickstadt, Jörg Rahnenführer |
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 % |
|---|---|---|
| India | 1 | 33% |
| Sweden | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 22% |
| Student > Ph. D. Student | 1 | 11% |
| Lecturer | 1 | 11% |
| Student > Master | 1 | 11% |
| Unknown | 4 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 22% |
| Computer Science | 1 | 11% |
| Physics and Astronomy | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
| Unknown | 4 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 December 2021.
All research outputs
#17,664,478
of 22,675,759 outputs
Outputs from BMC Bioinformatics
#5,915
of 7,249 outputs
Outputs of similar age
#334,502
of 496,203 outputs
Outputs of similar age from BMC Bioinformatics
#145
of 158 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,249 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% 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 496,203 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.