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X Demographics
Mendeley readers
Attention Score in Context
Title |
Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent
|
---|---|
Published in |
BMC Bioinformatics, September 2020
|
DOI | 10.1186/s12859-020-03725-w |
Pubmed ID | |
Authors |
Jan Klosa, Noah Simon, Pål Olof Westermark, Volkmar Liebscher, Dörte Wittenburg |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 10% |
Canada | 1 | 10% |
Sweden | 1 | 10% |
Italy | 1 | 10% |
India | 1 | 10% |
United Kingdom | 1 | 10% |
Unknown | 4 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 50% |
Scientists | 5 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 27% |
Researcher | 7 | 23% |
Student > Bachelor | 2 | 7% |
Other | 1 | 3% |
Lecturer | 1 | 3% |
Other | 3 | 10% |
Unknown | 8 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Mathematics | 4 | 13% |
Agricultural and Biological Sciences | 3 | 10% |
Engineering | 2 | 7% |
Biochemistry, Genetics and Molecular Biology | 2 | 7% |
Computer Science | 2 | 7% |
Other | 6 | 20% |
Unknown | 11 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 03 October 2020.
All research outputs
#6,982,354
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#2,645
of 7,387 outputs
Outputs of similar age
#148,611
of 403,543 outputs
Outputs of similar age from BMC Bioinformatics
#63
of 152 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,387 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 gotten more attention than average, scoring higher than 63% 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 403,543 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 62% of its contemporaries.
We're also able to compare this research output to 152 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 59% of its contemporaries.