| Title |
Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection
|
|---|---|
| Published in |
Health Information Science and Systems, September 2017
|
| DOI | 10.1007/s13755-017-0023-z |
| Pubmed ID | |
| Authors |
Xueqiang Zeng, Gang Luo |
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 % |
|---|---|---|
| Turkey | 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 17% |
| Student > Master | 11 | 16% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Bachelor | 6 | 9% |
| Student > Doctoral Student | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 23 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 21% |
| Engineering | 7 | 10% |
| Mathematics | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Neuroscience | 3 | 4% |
| Other | 11 | 16% |
| Unknown | 28 | 40% |
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 December 2018.
All research outputs
#14,432,184
of 23,117,738 outputs
Outputs from Health Information Science and Systems
#40
of 97 outputs
Outputs of similar age
#178,039
of 321,000 outputs
Outputs of similar age from Health Information Science and Systems
#3
of 4 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 97 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 57% 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 321,000 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.