| Title |
Genome-wide analysis of consistently RNA edited sites in human blood reveals interactions with mRNA processing genes and suggests correlations with cell types and biological variables
|
|---|---|
| Published in |
BMC Genomics, December 2018
|
| DOI | 10.1186/s12864-018-5364-8 |
| Pubmed ID | |
| Authors |
Edoardo Giacopuzzi, Massimo Gennarelli, Chiara Sacco, Alice Filippini, Jessica Mingardi, Chiara Magri, Alessandro Barbon |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Researcher | 5 | 15% |
| Other | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Professor | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 10 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 21% |
| Agricultural and Biological Sciences | 6 | 18% |
| Medicine and Dentistry | 3 | 9% |
| Neuroscience | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 10 | 29% |
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 30 December 2018.
All research outputs
#15,029,014
of 23,120,280 outputs
Outputs from BMC Genomics
#6,174
of 10,708 outputs
Outputs of similar age
#250,884
of 437,271 outputs
Outputs of similar age from BMC Genomics
#126
of 241 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,708 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 437,271 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 241 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.