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 |
Statistical principle-based approach for gene and protein related object recognition
|
|---|---|
| Published in |
Journal of Cheminformatics, December 2018
|
| DOI | 10.1186/s13321-018-0314-7 |
| Pubmed ID | |
| Authors |
Po-Ting Lai, Ming-Siang Huang, Ting-Hao Yang, Wen-Lian Hsu, Richard Tzong-Han Tsai |
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 % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 18% |
| Researcher | 4 | 18% |
| Student > Ph. D. Student | 4 | 18% |
| Lecturer | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 50% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 4 | 18% |
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 20 December 2018.
All research outputs
#18,942,832
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#851
of 891 outputs
Outputs of similar age
#293,054
of 414,121 outputs
Outputs of similar age from Journal of Cheminformatics
#24
of 24 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 3rd percentile – i.e., 3% 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 414,121 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.