| Title |
RBPsuite: RNA-protein binding sites prediction suite based on deep learning
|
|---|---|
| Published in |
BMC Genomics, December 2020
|
| DOI | 10.1186/s12864-020-07291-6 |
| Pubmed ID | |
| Authors |
Xiaoyong Pan, Yi Fang, Xianfeng Li, Yang Yang, Hong-Bin Shen |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 14 | 20% |
| Student > Bachelor | 11 | 16% |
| Student > Master | 10 | 14% |
| Researcher | 10 | 14% |
| Student > Doctoral Student | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 16 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 36% |
| Agricultural and Biological Sciences | 6 | 9% |
| Computer Science | 6 | 9% |
| Engineering | 4 | 6% |
| Nursing and Health Professions | 2 | 3% |
| Other | 10 | 14% |
| Unknown | 17 | 24% |
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 11 December 2020.
All research outputs
#13,724,124
of 23,267,128 outputs
Outputs from BMC Genomics
#5,048
of 10,736 outputs
Outputs of similar age
#244,703
of 508,421 outputs
Outputs of similar age from BMC Genomics
#76
of 187 outputs
Altmetric has tracked 23,267,128 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 10,736 research outputs from this source. They receive a mean Attention Score of 4.7. 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 508,421 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 187 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 57% of its contemporaries.