↓ Skip to main content

STINGRAY: system for integrated genomic resources and analysis

Overview of attention for article published in BMC Research Notes, March 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
54 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
STINGRAY: system for integrated genomic resources and analysis
Published in
BMC Research Notes, March 2014
DOI 10.1186/1756-0500-7-132
Pubmed ID
Authors

Glauber Wagner, Rodrigo Jardim, Diogo A Tschoeke, Daniel R Loureiro, Kary ACS Ocaña, Antonio CB Ribeiro, Vanessa E Emmel, Christian M Probst, André N Pitaluga, Edmundo C Grisard, Maria C Cavalcanti, Maria LM Campos, Marta Mattoso, Alberto MR Dávila

Abstract

The STINGRAY system has been conceived to ease the tasks of integrating, analyzing, annotating and presenting genomic and expression data from Sanger and Next Generation Sequencing (NGS) platforms.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 6%
France 1 2%
Germany 1 2%
Australia 1 2%
United States 1 2%
Unknown 47 87%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 26%
Researcher 12 22%
Student > Ph. D. Student 8 15%
Student > Bachelor 5 9%
Student > Postgraduate 3 6%
Other 8 15%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 41%
Biochemistry, Genetics and Molecular Biology 9 17%
Computer Science 5 9%
Medicine and Dentistry 3 6%
Engineering 2 4%
Other 6 11%
Unknown 7 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 October 2014.
All research outputs
#18,381,794
of 22,768,097 outputs
Outputs from BMC Research Notes
#3,014
of 4,262 outputs
Outputs of similar age
#160,834
of 221,182 outputs
Outputs of similar age from BMC Research Notes
#59
of 75 outputs
Altmetric has tracked 22,768,097 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,262 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 16th percentile – i.e., 16% 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 221,182 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.