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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting lncRNA-miRNA Interaction via Graph Convolution Auto-Encoder
|
|---|---|
| Published in |
Frontiers in Genetics, August 2019
|
| DOI | 10.3389/fgene.2019.00758 |
| Pubmed ID | |
| Authors |
Yu-An Huang, Zhi-An Huang, Zhu-Hong You, Zexuan Zhu, Wen-Zhun Huang, Jian-Xin Guo, Chang-Qing Yu |
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 % |
|---|---|---|
| United States | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 22% |
| Student > Master | 6 | 11% |
| Student > Bachelor | 5 | 9% |
| Unspecified | 3 | 5% |
| Student > Doctoral Student | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 19 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 22% |
| Computer Science | 7 | 13% |
| Agricultural and Biological Sciences | 3 | 5% |
| Unspecified | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Other | 10 | 18% |
| Unknown | 18 | 33% |
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 September 2019.
All research outputs
#14,216,465
of 23,577,761 outputs
Outputs from Frontiers in Genetics
#3,627
of 12,603 outputs
Outputs of similar age
#177,947
of 342,179 outputs
Outputs of similar age from Frontiers in Genetics
#123
of 300 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,603 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 71% 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 342,179 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 300 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 59% of its contemporaries.