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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PSBP-SVM: A Machine Learning-Based Computational Identifier for Predicting Polystyrene Binding Peptides
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, March 2020
|
| DOI | 10.3389/fbioe.2020.00245 |
| Pubmed ID | |
| Authors |
Chaolu Meng, Yang Hu, Ying Zhang, Fei Guo |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 25% |
| Student > Bachelor | 3 | 15% |
| Student > Ph. D. Student | 3 | 15% |
| Lecturer > Senior Lecturer | 2 | 10% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 20% |
| Unspecified | 2 | 10% |
| Agricultural and Biological Sciences | 2 | 10% |
| Chemistry | 2 | 10% |
| Computer Science | 2 | 10% |
| Other | 3 | 15% |
| Unknown | 5 | 25% |
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 April 2020.
All research outputs
#18,717,206
of 23,199,478 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,484
of 6,883 outputs
Outputs of similar age
#278,002
of 370,761 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#242
of 374 outputs
Altmetric has tracked 23,199,478 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,883 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 31st percentile – i.e., 31% 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 370,761 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 374 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.