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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Hybrid Deep Neural Network for Handling Data Imbalance in Precursor MicroRNA
|
---|---|
Published in |
Frontiers in Public Health, December 2021
|
DOI | 10.3389/fpubh.2021.821410 |
Pubmed ID | |
Authors |
Elakkiya R, Deepak Kumar Jain, Ketan Kotecha, Sharnil Pandya, Sai Siddhartha Reddy, Rajalakshmi E, Vijayakumar Varadarajan, Aniket Mahanti, Subramaniyaswamy V |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 33% |
Unspecified | 1 | 11% |
Researcher | 1 | 11% |
Lecturer | 1 | 11% |
Lecturer > Senior Lecturer | 1 | 11% |
Other | 0 | 0% |
Unknown | 2 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 33% |
Unspecified | 1 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 11% |
Materials Science | 1 | 11% |
Unknown | 3 | 33% |
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 19 October 2024.
All research outputs
#16,102,931
of 26,789,890 outputs
Outputs from Frontiers in Public Health
#4,910
of 15,211 outputs
Outputs of similar age
#253,382
of 531,587 outputs
Outputs of similar age from Frontiers in Public Health
#239
of 773 outputs
Altmetric has tracked 26,789,890 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,211 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has gotten more attention than average, scoring higher than 66% 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 531,587 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 50% of its contemporaries.
We're also able to compare this research output to 773 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 68% of its contemporaries.