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X Demographics
Mendeley readers
| Title |
A Unified Computational Framework for a Robust, Reliable, and Reproducible Identification of Novel miRNAs From the RNA Sequencing Data
|
|---|---|
| Published in |
Frontiers in Bioinformatics, July 2022
|
| DOI | 10.3389/fbinf.2022.842051 |
| Pubmed ID | |
| Authors |
Vivek Ruhela, Anubha Gupta, K. Sriram, Gaurav Ahuja, Gurvinder Kaur, Ritu Gupta |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 17% |
| Sweden | 1 | 17% |
| Switzerland | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 38% |
| Unspecified | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 38% |
| Unspecified | 1 | 13% |
| Veterinary Science and Veterinary Medicine | 1 | 13% |
| Unknown | 3 | 38% |