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X Demographics
Mendeley readers
Attention Score in Context
| Title |
miTAR: a hybrid deep learning-based approach for predicting miRNA targets
|
|---|---|
| Published in |
BMC Bioinformatics, February 2021
|
| DOI | 10.1186/s12859-021-04026-6 |
| Pubmed ID | |
| Authors |
Tongjun Gu, Xiwu Zhao, William Bradley Barbazuk, Ji-Hyun Lee |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| United Kingdom | 2 | 20% |
| Sweden | 1 | 10% |
| India | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 70% |
| Members of the public | 3 | 30% |
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 % |
|---|---|---|
| Other | 4 | 14% |
| Student > Ph. D. Student | 4 | 14% |
| Student > Bachelor | 3 | 11% |
| Researcher | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 8 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 25% |
| Computer Science | 4 | 14% |
| Agricultural and Biological Sciences | 4 | 14% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 36% |
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 15 March 2021.
All research outputs
#6,119,844
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#2,219
of 7,418 outputs
Outputs of similar age
#132,842
of 419,225 outputs
Outputs of similar age from BMC Bioinformatics
#55
of 141 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 69% 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 419,225 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 141 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 60% of its contemporaries.