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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SDN2GO: An Integrated Deep Learning Model for Protein Function Prediction
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, April 2020
|
| DOI | 10.3389/fbioe.2020.00391 |
| Pubmed ID | |
| Authors |
Yideng Cai, Jiacheng Wang, Lei Deng |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 2 | 33% |
| France | 1 | 17% |
| Mexico | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 19% |
| Student > Ph. D. Student | 14 | 17% |
| Student > Master | 8 | 10% |
| Student > Bachelor | 7 | 8% |
| Other | 3 | 4% |
| Other | 5 | 6% |
| Unknown | 31 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 17% |
| Computer Science | 10 | 12% |
| Agricultural and Biological Sciences | 6 | 7% |
| Chemistry | 4 | 5% |
| Engineering | 3 | 4% |
| Other | 13 | 15% |
| Unknown | 34 | 40% |
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 18 May 2020.
All research outputs
#13,866,924
of 23,508,125 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,760
of 7,106 outputs
Outputs of similar age
#191,952
of 379,228 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#173
of 396 outputs
Altmetric has tracked 23,508,125 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,106 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 73% 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 379,228 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 396 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.