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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, March 2020
|
| DOI | 10.1186/s12911-020-1052-0 |
| Pubmed ID | |
| Authors |
Yan-Bin Wang, Zhu-Hong You, Shan Yang, Hai-Cheng Yi, Zhan-Heng Chen, Kai Zheng |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 111 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 13% |
| Researcher | 12 | 11% |
| Student > Ph. D. Student | 9 | 8% |
| Student > Bachelor | 6 | 5% |
| Lecturer | 5 | 5% |
| Other | 14 | 13% |
| Unknown | 51 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 19% |
| Biochemistry, Genetics and Molecular Biology | 9 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 5% |
| Agricultural and Biological Sciences | 5 | 5% |
| Engineering | 5 | 5% |
| Other | 11 | 10% |
| Unknown | 54 | 49% |
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 26 July 2022.
All research outputs
#18,540,642
of 22,962,258 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,581
of 2,001 outputs
Outputs of similar age
#274,350
of 366,634 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#33
of 41 outputs
Altmetric has tracked 22,962,258 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 2,001 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 366,634 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 41 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.