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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Architectures and accuracy of artificial neural network for disease classification from omics data
|
|---|---|
| Published in |
BMC Genomics, March 2019
|
| DOI | 10.1186/s12864-019-5546-z |
| Pubmed ID | |
| Authors |
Hui Yu, David C. Samuels, Ying-yong Zhao, Yan Guo |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 166 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 17% |
| Student > Master | 25 | 15% |
| Researcher | 23 | 14% |
| Student > Bachelor | 16 | 10% |
| Student > Doctoral Student | 8 | 5% |
| Other | 21 | 13% |
| Unknown | 45 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 41 | 25% |
| Biochemistry, Genetics and Molecular Biology | 16 | 10% |
| Medicine and Dentistry | 15 | 9% |
| Engineering | 14 | 8% |
| Immunology and Microbiology | 4 | 2% |
| Other | 23 | 14% |
| Unknown | 53 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 19 November 2020.
All research outputs
#5,984,600
of 23,132,033 outputs
Outputs from BMC Genomics
#2,454
of 10,710 outputs
Outputs of similar age
#114,055
of 353,449 outputs
Outputs of similar age from BMC Genomics
#56
of 215 outputs
Altmetric has tracked 23,132,033 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,710 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 76% 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 353,449 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 67% of its contemporaries.
We're also able to compare this research output to 215 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 73% of its contemporaries.