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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting the Disease Risk of Protein Mutation Sequences With Pre-training Model
|
|---|---|
| Published in |
Frontiers in Genetics, December 2020
|
| DOI | 10.3389/fgene.2020.605620 |
| Pubmed ID | |
| Authors |
Kuan Li, Yue Zhong, Xuan Lin, Zhe Quan |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 28% |
| Student > Ph. D. Student | 3 | 17% |
| Student > Doctoral Student | 1 | 6% |
| Student > Master | 1 | 6% |
| Lecturer | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 7 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 28% |
| Biochemistry, Genetics and Molecular Biology | 4 | 22% |
| Medicine and Dentistry | 1 | 6% |
| Engineering | 1 | 6% |
| Unknown | 7 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 July 2021.
All research outputs
#18,119,559
of 23,275,636 outputs
Outputs from Frontiers in Genetics
#6,249
of 12,291 outputs
Outputs of similar age
#356,374
of 503,829 outputs
Outputs of similar age from Frontiers in Genetics
#213
of 469 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,291 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% 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 503,829 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 469 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.