Title |
Bioinformatics Protocols for Quickly Obtaining Large-Scale Data Sets for Phylogenetic Inferences
|
---|---|
Published in |
Interdisciplinary Sciences: Computational Life Sciences, December 2018
|
DOI | 10.1007/s12539-018-0312-5 |
Pubmed ID | |
Authors |
Hugo López-Fernández, Pedro Duque, Sílvia Henriques, Noé Vázquez, Florentino Fdez-Riverola, Cristina P. Vieira, Miguel Reboiro-Jato, Jorge Vieira |
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 % |
---|---|---|
Spain | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Postgraduate | 4 | 20% |
Other | 3 | 15% |
Student > Master | 3 | 15% |
Student > Ph. D. Student | 2 | 10% |
Unspecified | 1 | 5% |
Other | 3 | 15% |
Unknown | 4 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 20% |
Agricultural and Biological Sciences | 4 | 20% |
Medicine and Dentistry | 3 | 15% |
Unspecified | 1 | 5% |
Computer Science | 1 | 5% |
Other | 1 | 5% |
Unknown | 6 | 30% |
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 17 December 2018.
All research outputs
#14,147,515
of 23,116,036 outputs
Outputs from Interdisciplinary Sciences: Computational Life Sciences
#78
of 297 outputs
Outputs of similar age
#227,597
of 436,841 outputs
Outputs of similar age from Interdisciplinary Sciences: Computational Life Sciences
#1
of 6 outputs
Altmetric has tracked 23,116,036 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 297 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 71% 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 436,841 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them