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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models
|
|---|---|
| Published in |
BMC Bioinformatics, July 2020
|
| DOI | 10.1186/s12859-020-03618-y |
| Pubmed ID | |
| Authors |
Shaima Belhechmi, Riccardo De Bin, Federico Rotolo, Stefan Michiels |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 18% |
| Student > Master | 3 | 18% |
| Researcher | 2 | 12% |
| Student > Ph. D. Student | 2 | 12% |
| Professor | 1 | 6% |
| Other | 2 | 12% |
| Unknown | 4 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 18% |
| Mathematics | 2 | 12% |
| Nursing and Health Professions | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Economics, Econometrics and Finance | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 6 | 35% |
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 10 July 2020.
All research outputs
#15,086,839
of 23,220,133 outputs
Outputs from BMC Bioinformatics
#5,112
of 7,358 outputs
Outputs of similar age
#236,334
of 398,655 outputs
Outputs of similar age from BMC Bioinformatics
#99
of 127 outputs
Altmetric has tracked 23,220,133 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,358 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 25th percentile – i.e., 25% 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 398,655 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.