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X Demographics
Mendeley readers
Attention Score in Context
| Title |
iRNA5hmC: The First Predictor to Identify RNA 5-Hydroxymethylcytosine Modifications Using Machine Learning
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, March 2020
|
| DOI | 10.3389/fbioe.2020.00227 |
| Pubmed ID | |
| Authors |
Yuan Liu, Dasheng Chen, Ran Su, Wei Chen, Leyi Wei |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 25% |
| Mexico | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Researcher | 5 | 14% |
| Other | 3 | 8% |
| Student > Master | 3 | 8% |
| Student > Postgraduate | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 12 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 17% |
| Computer Science | 5 | 14% |
| Unspecified | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Social Sciences | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 15 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 12 August 2021.
All research outputs
#13,319,606
of 23,199,478 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,516
of 6,883 outputs
Outputs of similar age
#176,238
of 370,761 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#145
of 374 outputs
Altmetric has tracked 23,199,478 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,883 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 77% 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 370,761 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 51% of its contemporaries.
We're also able to compare this research output to 374 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.