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STRIDE: a command-line HMM-based identifier and sub-classifier of Plasmodium falciparum RIFIN and STEVOR variant surface antigen families

Overview of attention for article published in BMC Bioinformatics, January 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
7 Mendeley
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Title
STRIDE: a command-line HMM-based identifier and sub-classifier of Plasmodium falciparum RIFIN and STEVOR variant surface antigen families
Published in
BMC Bioinformatics, January 2022
DOI 10.1186/s12859-021-04515-8
Pubmed ID
Authors

Albert E. Zhou, Zalak V. Shah, Katie R. Bradwell, James B. Munro, Andrea A. Berry, David Serre, Shannon Takala-Harrison, Timothy D. O’Connor, Joana C. Silva, Mark A. Travassos

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Student > Bachelor 1 14%
Researcher 1 14%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Other 0 0%
Unknown 2 29%
Readers by discipline Count As %
Unspecified 1 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 14%
Agricultural and Biological Sciences 1 14%
Immunology and Microbiology 1 14%
Medicine and Dentistry 1 14%
Other 0 0%
Unknown 2 29%
Attention Score in Context

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 21 January 2022.
All research outputs
#6,242,019
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#2,340
of 7,388 outputs
Outputs of similar age
#137,188
of 509,221 outputs
Outputs of similar age from BMC Bioinformatics
#54
of 145 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd 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 68% 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 509,221 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 72% of its contemporaries.
We're also able to compare this research output to 145 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 62% of its contemporaries.