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A systematic bioinformatics approach for large-scale identification and characterization of host-pathogen shared sequences

Overview of attention for article published in BMC Genomics, September 2021
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Readers on

mendeley
16 Mendeley
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Title
A systematic bioinformatics approach for large-scale identification and characterization of host-pathogen shared sequences
Published in
BMC Genomics, September 2021
DOI 10.1186/s12864-021-07657-4
Pubmed ID
Authors

Stephen Among James, Hui San Ong, Ranjeev Hari, Asif M. Khan

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Student > Doctoral Student 3 19%
Researcher 3 19%
Professor 1 6%
Student > Bachelor 1 6%
Other 0 0%
Unknown 4 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 25%
Biochemistry, Genetics and Molecular Biology 2 13%
Computer Science 2 13%
Unspecified 1 6%
Immunology and Microbiology 1 6%
Other 0 0%
Unknown 6 38%

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 15 October 2021.
All research outputs
#13,416,397
of 20,785,366 outputs
Outputs from BMC Genomics
#5,800
of 10,149 outputs
Outputs of similar age
#188,635
of 347,080 outputs
Outputs of similar age from BMC Genomics
#3
of 3 outputs
Altmetric has tracked 20,785,366 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,149 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 37th percentile – i.e., 37% 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 347,080 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.