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Mendeley readers
Attention Score in Context
| Title |
BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data
|
|---|---|
| Published in |
BMC Bioinformatics, April 2018
|
| DOI | 10.1186/s12859-018-2095-4 |
| Pubmed ID | |
| Authors |
Yang Guo, Shuhui Liu, Zhanhuai Li, Xuequn Shang |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 15% |
| Student > Master | 10 | 13% |
| Student > Bachelor | 8 | 11% |
| Researcher | 8 | 11% |
| Student > Doctoral Student | 6 | 8% |
| Other | 7 | 9% |
| Unknown | 25 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 29% |
| Medicine and Dentistry | 5 | 7% |
| Engineering | 5 | 7% |
| Agricultural and Biological Sciences | 4 | 5% |
| Mathematics | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 28 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 30 January 2024.
All research outputs
#8,487,737
of 25,323,244 outputs
Outputs from BMC Bioinformatics
#3,216
of 7,672 outputs
Outputs of similar age
#135,541
of 335,498 outputs
Outputs of similar age from BMC Bioinformatics
#40
of 103 outputs
Altmetric has tracked 25,323,244 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 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 50% 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 335,498 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 52% of its contemporaries.
We're also able to compare this research output to 103 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 61% of its contemporaries.