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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GACNNMDA: a computational model for predicting potential human microbe-drug associations based on graph attention network and CNN-based classifier
|
|---|---|
| Published in |
BMC Bioinformatics, February 2023
|
| DOI | 10.1186/s12859-023-05158-7 |
| Pubmed ID | |
| Authors |
Qing Ma, Yaqin Tan, Lei Wang |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 1 | 20% |
| Sweden | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 27% |
| Researcher | 2 | 18% |
| Student > Master | 1 | 9% |
| Unknown | 5 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 18% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Computer Science | 1 | 9% |
| Nursing and Health Professions | 1 | 9% |
| Unknown | 6 | 55% |
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 03 February 2023.
All research outputs
#15,691,687
of 25,303,733 outputs
Outputs from BMC Bioinformatics
#4,731
of 7,672 outputs
Outputs of similar age
#218,687
of 471,235 outputs
Outputs of similar age from BMC Bioinformatics
#62
of 120 outputs
Altmetric has tracked 25,303,733 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 35th percentile – i.e., 35% 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 471,235 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.