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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An Improved Deep Forest Model for Predicting Self-Interacting Proteins From Protein Sequence Using Wavelet Transformation
|
|---|---|
| Published in |
Frontiers in Genetics, March 2019
|
| DOI | 10.3389/fgene.2019.00090 |
| Pubmed ID | |
| Authors |
Zhan-Heng Chen, Li-Ping Li, Zhou He, Ji-Ren Zhou, Yangming Li, Leon Wong |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| United States | 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 % |
|---|---|---|
| Student > Master | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Other | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 9 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 22% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Engineering | 1 | 6% |
| Unknown | 11 | 61% |
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 04 March 2019.
All research outputs
#18,670,143
of 23,132,033 outputs
Outputs from Frontiers in Genetics
#7,191
of 12,169 outputs
Outputs of similar age
#268,356
of 354,050 outputs
Outputs of similar age from Frontiers in Genetics
#259
of 359 outputs
Altmetric has tracked 23,132,033 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 12,169 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% 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 354,050 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 359 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.