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 |
AOPs-SVM: A Sequence-Based Classifier of Antioxidant Proteins Using a Support Vector Machine
|
---|---|
Published in |
Frontiers in Bioengineering and Biotechnology, September 2019
|
DOI | 10.3389/fbioe.2019.00224 |
Pubmed ID | |
Authors |
Chaolu Meng, Shunshan Jin, Lei Wang, Fei Guo, Quan Zou |
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 % |
---|---|---|
Mexico | 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 17% |
Researcher | 3 | 13% |
Lecturer > Senior Lecturer | 2 | 8% |
Lecturer | 1 | 4% |
Student > Bachelor | 1 | 4% |
Other | 3 | 13% |
Unknown | 10 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 21% |
Biochemistry, Genetics and Molecular Biology | 4 | 17% |
Engineering | 2 | 8% |
Agricultural and Biological Sciences | 1 | 4% |
Unspecified | 1 | 4% |
Other | 0 | 0% |
Unknown | 11 | 46% |
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 28 March 2022.
All research outputs
#18,248,538
of 23,435,471 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,018
of 7,046 outputs
Outputs of similar age
#242,292
of 343,919 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#66
of 114 outputs
Altmetric has tracked 23,435,471 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 7,046 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 49th percentile – i.e., 49% 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 343,919 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 114 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.