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X Demographics
Mendeley readers
Attention Score in Context
Title |
FEDRO: a software tool for the automatic discovery of candidate ORFs in plants with c →u RNA editing
|
---|---|
Published in |
BMC Bioinformatics, April 2019
|
DOI | 10.1186/s12859-019-2696-6 |
Pubmed ID | |
Authors |
Fabio Fassetti, Claudia Giallombardo, Ofelia Leone, Luigi Palopoli, Simona E. Rombo, Adolfo Saiardi |
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 % |
---|---|---|
United Kingdom | 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 30% |
Other | 1 | 10% |
Student > Bachelor | 1 | 10% |
Student > Master | 1 | 10% |
Researcher | 1 | 10% |
Other | 1 | 10% |
Unknown | 2 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 40% |
Biochemistry, Genetics and Molecular Biology | 2 | 20% |
Computer Science | 1 | 10% |
Engineering | 1 | 10% |
Unknown | 2 | 20% |
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 13 May 2019.
All research outputs
#15,177,072
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#5,161
of 7,387 outputs
Outputs of similar age
#207,678
of 350,921 outputs
Outputs of similar age from BMC Bioinformatics
#111
of 176 outputs
Altmetric has tracked 23,344,526 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 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 25th percentile – i.e., 25% 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 350,921 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.