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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

  • Above-average Attention Score compared to outputs of the same age (64th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
110 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
Authors

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

Twitter Demographics

The data shown below were collected from the profiles of 7 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 23%
Researcher 16 15%
Student > Master 12 11%
Student > Bachelor 10 9%
Student > Doctoral Student 5 5%
Other 11 10%
Unknown 31 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 47 43%
Medicine and Dentistry 8 7%
Agricultural and Biological Sciences 8 7%
Computer Science 3 3%
Unspecified 3 3%
Other 3 3%
Unknown 38 35%

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
#5,883,005
of 19,911,470 outputs
Outputs from Genome Medicine
#950
of 1,296 outputs
Outputs of similar age
#171,110
of 480,528 outputs
Outputs of similar age from Genome Medicine
#85
of 111 outputs
Altmetric has tracked 19,911,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,296 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. 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 480,528 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 64% of its contemporaries.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.