| Title |
Discerning novel splice junctions derived from RNA-seq alignment: a deep learning approach
|
|---|---|
| Published in |
BMC Genomics, December 2018
|
| DOI | 10.1186/s12864-018-5350-1 |
| Pubmed ID | |
| Authors |
Yi Zhang, Xinan Liu, James MacLeod, Jinze Liu |
X Demographics
The data shown below were collected from the profiles of 13 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 Kingdom | 2 | 15% |
| France | 2 | 15% |
| Denmark | 1 | 8% |
| United States | 1 | 8% |
| Chile | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 62% |
| Members of the public | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 19% |
| Researcher | 10 | 16% |
| Student > Ph. D. Student | 9 | 14% |
| Student > Bachelor | 6 | 10% |
| Other | 4 | 6% |
| Other | 5 | 8% |
| Unknown | 17 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 29% |
| Agricultural and Biological Sciences | 10 | 16% |
| Computer Science | 6 | 10% |
| Medicine and Dentistry | 4 | 6% |
| Engineering | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 20 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 15 October 2020.
All research outputs
#3,175,027
of 23,120,280 outputs
Outputs from BMC Genomics
#1,185
of 10,708 outputs
Outputs of similar age
#74,757
of 437,271 outputs
Outputs of similar age from BMC Genomics
#36
of 241 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,708 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 88% 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 437,271 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 241 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.