| Title |
Bioprocess data mining using regularized regression and random forests
|
|---|---|
| Published in |
BMC Systems Biology, August 2013
|
| DOI | 10.1186/1752-0509-7-s1-s5 |
| Pubmed ID | |
| Authors |
Syeda Sakira Hassan, Muhammad Farhan, Rahul Mangayil, Heikki Huttunen, Tommi Aho |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 16% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Bachelor | 6 | 12% |
| Student > Doctoral Student | 4 | 8% |
| Other | 4 | 8% |
| Other | 8 | 16% |
| Unknown | 15 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 12% |
| Engineering | 4 | 8% |
| Computer Science | 3 | 6% |
| Social Sciences | 3 | 6% |
| Psychology | 3 | 6% |
| Other | 15 | 29% |
| Unknown | 17 | 33% |
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 06 April 2015.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from BMC Systems Biology
#827
of 1,132 outputs
Outputs of similar age
#159,008
of 209,329 outputs
Outputs of similar age from BMC Systems Biology
#18
of 26 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 11th percentile – i.e., 11% 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 209,329 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.