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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantifying RNA Editing in Deep Transcriptome Datasets
|
|---|---|
| Published in |
Frontiers in Genetics, March 2020
|
| DOI | 10.3389/fgene.2020.00194 |
| Pubmed ID | |
| Authors |
Claudio Lo Giudice, Domenico Alessandro Silvestris, Shalom Hillel Roth, Eli Eisenberg, Graziano Pesole, Angela Gallo, Ernesto Picardi |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 22% |
| Student > Master | 8 | 12% |
| Researcher | 8 | 12% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 22 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 22 | 34% |
| Agricultural and Biological Sciences | 6 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Computer Science | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 26 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 02 May 2024.
All research outputs
#2,751,189
of 26,038,372 outputs
Outputs from Frontiers in Genetics
#660
of 13,844 outputs
Outputs of similar age
#61,804
of 390,192 outputs
Outputs of similar age from Frontiers in Genetics
#17
of 387 outputs
Altmetric has tracked 26,038,372 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,844 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 95% 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 390,192 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 387 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.