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dbNSFP v4: a comprehensive database of transcript-specific functional predictions and annotations for human nonsynonymous and splice-site SNVs

Overview of attention for article published in Genome Medicine, December 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
334 Dimensions

Readers on

mendeley
198 Mendeley
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Title
dbNSFP v4: a comprehensive database of transcript-specific functional predictions and annotations for human nonsynonymous and splice-site SNVs
Published in
Genome Medicine, December 2020
DOI 10.1186/s13073-020-00803-9
Pubmed ID
Authors

Xiaoming Liu, Chang Li, Chengcheng Mou, Yibo Dong, Yicheng Tu

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 198 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 18%
Researcher 29 15%
Student > Bachelor 22 11%
Student > Master 14 7%
Student > Doctoral Student 8 4%
Other 21 11%
Unknown 68 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 77 39%
Medicine and Dentistry 15 8%
Agricultural and Biological Sciences 12 6%
Computer Science 5 3%
Arts and Humanities 2 1%
Other 7 4%
Unknown 80 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 08 January 2021.
All research outputs
#6,956,565
of 23,267,128 outputs
Outputs from Genome Medicine
#1,094
of 1,455 outputs
Outputs of similar age
#172,086
of 509,296 outputs
Outputs of similar age from Genome Medicine
#30
of 35 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,455 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 23rd percentile – i.e., 23% 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 509,296 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 65% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.