| Title |
GNE: a deep learning framework for gene network inference by aggregating biological information
|
|---|---|
| Published in |
BMC Systems Biology, April 2019
|
| DOI | 10.1186/s12918-019-0694-y |
| Pubmed ID | |
| Authors |
Kishan KC, Rui Li, Feng Cui, Qi Yu, Anne R. Haake |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 158 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 32 | 20% |
| Student > Ph. D. Student | 26 | 16% |
| Student > Master | 16 | 10% |
| Researcher | 16 | 10% |
| Student > Bachelor | 12 | 8% |
| Other | 17 | 11% |
| Unknown | 39 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 51 | 32% |
| Biochemistry, Genetics and Molecular Biology | 33 | 21% |
| Agricultural and Biological Sciences | 11 | 7% |
| Engineering | 8 | 5% |
| Medicine and Dentistry | 4 | 3% |
| Other | 10 | 6% |
| Unknown | 41 | 26% |
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 19 April 2020.
All research outputs
#14,931,785
of 23,881,329 outputs
Outputs from BMC Systems Biology
#541
of 1,126 outputs
Outputs of similar age
#198,776
of 354,392 outputs
Outputs of similar age from BMC Systems Biology
#8
of 15 outputs
Altmetric has tracked 23,881,329 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 1,126 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 47th percentile – i.e., 47% 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 354,392 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 15 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 53% of its contemporaries.