↓ Skip to main content

Delineation of the pan-proteome of fish-pathogenic Streptococcus agalactiae strains using a label-free shotgun approach

Overview of attention for article published in BMC Genomics, January 2019
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
37 Mendeley
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
Delineation of the pan-proteome of fish-pathogenic Streptococcus agalactiae strains using a label-free shotgun approach
Published in
BMC Genomics, January 2019
DOI 10.1186/s12864-018-5423-1
Pubmed ID
Authors

Guilherme Campos Tavares, Felipe Luiz Pereira, Gustavo Morais Barony, Cristiana Perdigão Rezende, Wanderson Marques da Silva, Gustavo Henrique Martins Ferreira de Souza, Thiago Verano-Braga, Vasco Ariston de Carvalho Azevedo, Carlos Augusto Gomes Leal, Henrique César Pereira Figueiredo

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 16%
Student > Master 3 8%
Other 3 8%
Researcher 3 8%
Lecturer 2 5%
Other 7 19%
Unknown 13 35%
Readers by discipline Count As %
Immunology and Microbiology 5 14%
Agricultural and Biological Sciences 4 11%
Veterinary Science and Veterinary Medicine 2 5%
Nursing and Health Professions 2 5%
Unspecified 2 5%
Other 7 19%
Unknown 15 41%
Attention Score in Context

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 09 April 2019.
All research outputs
#14,435,683
of 23,122,481 outputs
Outputs from BMC Genomics
#5,730
of 10,708 outputs
Outputs of similar age
#236,107
of 437,003 outputs
Outputs of similar age from BMC Genomics
#122
of 247 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,708 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 437,003 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.