↓ Skip to main content

Immunoinformatics-aided design of a new multi-epitope vaccine adjuvanted with domain 4 of pneumolysin against Streptococcus pneumoniae strains

Overview of attention for article published in BMC Bioinformatics, February 2023
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
4 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
24 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
Immunoinformatics-aided design of a new multi-epitope vaccine adjuvanted with domain 4 of pneumolysin against Streptococcus pneumoniae strains
Published in
BMC Bioinformatics, February 2023
DOI 10.1186/s12859-023-05175-6
Pubmed ID
Authors

Mona Shafaghi, Zohreh Bahadori, Hamid Madanchi, Mohammad Mehdi Ranjbar, Ali Akbar Shabani, Seyed Fazlollah Mousavi

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 8%
Other 2 8%
Professor > Associate Professor 2 8%
Student > Ph. D. Student 2 8%
Lecturer 1 4%
Other 4 17%
Unknown 11 46%
Readers by discipline Count As %
Medicine and Dentistry 4 17%
Biochemistry, Genetics and Molecular Biology 2 8%
Immunology and Microbiology 2 8%
Agricultural and Biological Sciences 2 8%
Unspecified 1 4%
Other 2 8%
Unknown 11 46%
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 26 February 2023.
All research outputs
#16,045,460
of 25,368,786 outputs
Outputs from BMC Bioinformatics
#5,005
of 7,692 outputs
Outputs of similar age
#215,411
of 423,796 outputs
Outputs of similar age from BMC Bioinformatics
#76
of 127 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,692 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 30th percentile – i.e., 30% 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 423,796 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.