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CSESA: an R package to predict Salmonella enterica serotype based on newly incorporated spacer pairs of CRISPR

Overview of attention for article published in BMC Bioinformatics, April 2019
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  • 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
2 Dimensions

Readers on

mendeley
15 Mendeley
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Title
CSESA: an R package to predict Salmonella enterica serotype based on newly incorporated spacer pairs of CRISPR
Published in
BMC Bioinformatics, April 2019
DOI 10.1186/s12859-019-2806-5
Pubmed ID
Authors

Lang Yang, Xia Zhang, Yuqi Liu, Hao Li, Shaofu Qiu, Peng Li, Hongbin Song

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Professor 2 13%
Student > Master 2 13%
Student > Ph. D. Student 1 7%
Other 1 7%
Other 2 13%
Unknown 3 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 27%
Chemical Engineering 2 13%
Veterinary Science and Veterinary Medicine 1 7%
Nursing and Health Professions 1 7%
Agricultural and Biological Sciences 1 7%
Other 3 20%
Unknown 3 20%
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 03 May 2019.
All research outputs
#15,043,397
of 23,144,579 outputs
Outputs from BMC Bioinformatics
#5,093
of 7,339 outputs
Outputs of similar age
#205,860
of 349,298 outputs
Outputs of similar age from BMC Bioinformatics
#120
of 193 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 26th percentile – i.e., 26% 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 349,298 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 193 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.