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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Graphical Workflow System for Modification Calling by Machine Learning of Reverse Transcription Signatures
|
|---|---|
| Published in |
Frontiers in Genetics, September 2019
|
| DOI | 10.3389/fgene.2019.00876 |
| Pubmed ID | |
| Authors |
Lukas Schmidt, Stephan Werner, Thomas Kemmer, Stefan Niebler, Marco Kristen, Lilia Ayadi, Patrick Johe, Virginie Marchand, Tanja Schirmeister, Yuri Motorin, Andreas Hildebrandt, Bertil Schmidt, Mark Helm |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Researcher | 4 | 17% |
| Professor | 4 | 17% |
| Student > Bachelor | 2 | 9% |
| Student > Master | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 30% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 9% |
| Chemical Engineering | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 9 | 39% |
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 28 August 2021.
All research outputs
#12,841,902
of 23,166,665 outputs
Outputs from Frontiers in Genetics
#2,597
of 12,196 outputs
Outputs of similar age
#153,877
of 345,861 outputs
Outputs of similar age from Frontiers in Genetics
#114
of 358 outputs
Altmetric has tracked 23,166,665 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,196 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 78% 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 345,861 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 54% of its contemporaries.
We're also able to compare this research output to 358 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 67% of its contemporaries.