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X Demographics
Mendeley readers
Attention Score in Context
Title |
RAFTS3G: an efficient and versatile clustering software to analyses in large protein datasets
|
---|---|
Published in |
BMC Bioinformatics, July 2019
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DOI | 10.1186/s12859-019-2973-4 |
Pubmed ID | |
Authors |
Bruno Thiago de Lima Nichio, Aryel Marlus Repula de Oliveira, Camilla Reginatto de Pierri, Leticia Graziela Costa Santos, Alexandre Quadros Lejambre, Ricardo Assunção Vialle, Nilson Antônio da Rocha Coimbra, Dieval Guizelini, Jeroniza Nunes Marchaukoski, Fabio de Oliveira Pedrosa, Roberto Tadeu Raittz |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
Brazil | 2 | 29% |
India | 1 | 14% |
United Kingdom | 1 | 14% |
Unknown | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 6 | 86% |
Members of the public | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 25% |
Student > Doctoral Student | 2 | 7% |
Student > Bachelor | 2 | 7% |
Researcher | 2 | 7% |
Student > Ph. D. Student | 2 | 7% |
Other | 3 | 11% |
Unknown | 10 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 10 | 36% |
Agricultural and Biological Sciences | 4 | 14% |
Medicine and Dentistry | 2 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
Computer Science | 1 | 4% |
Other | 1 | 4% |
Unknown | 9 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 August 2019.
All research outputs
#6,461,879
of 23,340,595 outputs
Outputs from BMC Bioinformatics
#2,451
of 7,388 outputs
Outputs of similar age
#114,869
of 346,853 outputs
Outputs of similar age from BMC Bioinformatics
#63
of 152 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,388 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 66% 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 346,853 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 66% of its contemporaries.
We're also able to compare this research output to 152 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 58% of its contemporaries.