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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using BERT to identify drug-target interactions from whole PubMed
|
|---|---|
| Published in |
BMC Bioinformatics, June 2022
|
| DOI | 10.1186/s12859-022-04768-x |
| Pubmed ID | |
| Authors |
Jehad Aldahdooh, Markus Vähä-Koskela, Jing Tang, Ziaurrehman Tanoli |
X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
| Finland | 2 | 22% |
| India | 1 | 11% |
| Germany | 1 | 11% |
| Sweden | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Other | 3 | 11% |
| Student > Master | 3 | 11% |
| Student > Ph. D. Student | 2 | 7% |
| Student > Bachelor | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 11 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 18% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Agricultural and Biological Sciences | 2 | 7% |
| Environmental Science | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 4 | 14% |
| Unknown | 12 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 05 July 2022.
All research outputs
#7,585,221
of 25,998,826 outputs
Outputs from BMC Bioinformatics
#2,723
of 7,793 outputs
Outputs of similar age
#138,405
of 446,580 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 157 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 64% 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 446,580 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 68% of its contemporaries.
We're also able to compare this research output to 157 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 73% of its contemporaries.