| Title |
Machine learning approaches and databases for prediction of drug–target interaction: a survey paper
|
|---|---|
| Published in |
Briefings in Bioinformatics, January 2020
|
| DOI | 10.1093/bib/bbz157 |
| Pubmed ID | |
| Authors |
Maryam Bagherian, Elyas Sabeti, Kai Wang, Maureen A Sartor, Zaneta Nikolovska-Coleska, Kayvan Najarian |
X Demographics
The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 19% |
| Japan | 2 | 5% |
| Argentina | 2 | 5% |
| United Kingdom | 2 | 5% |
| India | 2 | 5% |
| France | 1 | 3% |
| Mexico | 1 | 3% |
| Andorra | 1 | 3% |
| Sri Lanka | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 17 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 73% |
| Scientists | 10 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 327 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 327 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 49 | 15% |
| Researcher | 35 | 11% |
| Student > Master | 31 | 9% |
| Student > Bachelor | 21 | 6% |
| Other | 10 | 3% |
| Other | 33 | 10% |
| Unknown | 148 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 57 | 17% |
| Biochemistry, Genetics and Molecular Biology | 38 | 12% |
| Chemistry | 18 | 6% |
| Agricultural and Biological Sciences | 12 | 4% |
| Medicine and Dentistry | 9 | 3% |
| Other | 37 | 11% |
| Unknown | 156 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 10 February 2023.
All research outputs
#1,433,961
of 25,257,066 outputs
Outputs from Briefings in Bioinformatics
#107
of 2,873 outputs
Outputs of similar age
#34,439
of 470,140 outputs
Outputs of similar age from Briefings in Bioinformatics
#8
of 69 outputs
Altmetric has tracked 25,257,066 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,873 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 96% 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 470,140 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.