↓ Skip to main content

Natural human knockouts and the era of genotype to phenotype

Overview of attention for article published in Genome Medicine, May 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

twitter
10 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Natural human knockouts and the era of genotype to phenotype
Published in
Genome Medicine, May 2015
DOI 10.1186/s13073-015-0173-z
Pubmed ID
Authors

Fowzan S Alkuraya

Abstract

Complete loss of gene function in humans by naturally occurring biallelic loss-of-function mutations (human knockout) is not a new concept. However, the recent identification of human knockouts along the entire spectrum of health and disease by next-generation sequencing promises to unlock their full potential to accelerate the medical and functional annotation of the human genome.

Twitter Demographics

The data shown below were collected from the profiles of 10 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 22%
Other 8 16%
Student > Ph. D. Student 8 16%
Student > Bachelor 5 10%
Professor 3 6%
Other 8 16%
Unknown 6 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 31%
Agricultural and Biological Sciences 14 29%
Medicine and Dentistry 11 22%
Computer Science 1 2%
Psychology 1 2%
Other 2 4%
Unknown 5 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 24 March 2019.
All research outputs
#2,685,532
of 14,539,325 outputs
Outputs from Genome Medicine
#592
of 1,018 outputs
Outputs of similar age
#48,793
of 235,518 outputs
Outputs of similar age from Genome Medicine
#1
of 2 outputs
Altmetric has tracked 14,539,325 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,018 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one is in the 41st percentile – i.e., 41% 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 235,518 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them