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Mendeley readers
Attention Score in Context
Title |
Consequential considerations when mapping tRNA fragments
|
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Published in |
BMC Bioinformatics, March 2016
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DOI | 10.1186/s12859-016-0921-0 |
Pubmed ID | |
Authors |
Aristeidis G. Telonis, Phillipe Loher, Yohei Kirino, Isidore Rigoutsos |
Abstract |
We examine several of the choices that went into the design of tDRmapper, a recently reported tool for identifying transfer RNA (tRNA) fragments in deep sequencing data, evaluate them in the context of currently available knowledge, and discuss their potential impact on the output that the tool generates. |
X Demographics
The data shown below were collected from the profiles of 9 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 States | 1 | 11% |
Italy | 1 | 11% |
Canada | 1 | 11% |
France | 1 | 11% |
Unknown | 5 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 56% |
Members of the public | 3 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Denmark | 1 | 2% |
Czechia | 1 | 2% |
Unknown | 39 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 29% |
Student > Ph. D. Student | 10 | 24% |
Student > Master | 6 | 14% |
Student > Bachelor | 2 | 5% |
Student > Doctoral Student | 2 | 5% |
Other | 3 | 7% |
Unknown | 7 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 17 | 40% |
Biochemistry, Genetics and Molecular Biology | 11 | 26% |
Medicine and Dentistry | 3 | 7% |
Computer Science | 2 | 5% |
Psychology | 1 | 2% |
Other | 0 | 0% |
Unknown | 8 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 March 2016.
All research outputs
#7,622,789
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#2,932
of 7,454 outputs
Outputs of similar age
#103,956
of 302,680 outputs
Outputs of similar age from BMC Bioinformatics
#53
of 122 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 59% 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 302,680 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 64% of its contemporaries.
We're also able to compare this research output to 122 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 55% of its contemporaries.