You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Advances in alternative splicing identification: deep learning and pantranscriptome
|
|---|---|
| Published in |
Frontiers in Plant Science, September 2023
|
| DOI | 10.3389/fpls.2023.1232466 |
| Pubmed ID | |
| Authors |
Fei Shen, Chenyang Hu, Xin Huang, Hao He, Deng Yang, Jirong Zhao, Xiaozeng Yang |
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 % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 1 | 17% |
| Student > Bachelor | 1 | 17% |
| Student > Ph. D. Student | 1 | 17% |
| Researcher | 1 | 17% |
| Student > Postgraduate | 1 | 17% |
| Other | 0 | 0% |
| Unknown | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 50% |
| Immunology and Microbiology | 1 | 17% |
| Chemistry | 1 | 17% |
| Unknown | 1 | 17% |
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 04 October 2023.
All research outputs
#15,316,366
of 24,746,716 outputs
Outputs from Frontiers in Plant Science
#8,282
of 23,599 outputs
Outputs of similar age
#138,344
of 313,779 outputs
Outputs of similar age from Frontiers in Plant Science
#162
of 926 outputs
Altmetric has tracked 24,746,716 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,599 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 61% 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 313,779 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 54% of its contemporaries.
We're also able to compare this research output to 926 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.