↓ Skip to main content

Changing genetic paradigms: creating next-generation genetic databases as tools to understand the emerging complexities of genotype/phenotype relationships

Overview of attention for article published in Human Genomics, May 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

blogs
1 blog
twitter
9 X users

Readers on

mendeley
42 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
Changing genetic paradigms: creating next-generation genetic databases as tools to understand the emerging complexities of genotype/phenotype relationships
Published in
Human Genomics, May 2014
DOI 10.1186/1479-7364-8-9
Pubmed ID
Authors

Bruce Gottlieb, Lenore K Beitel, Mark Trifiro

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Researcher 7 17%
Professor > Associate Professor 6 14%
Student > Postgraduate 5 12%
Professor 4 10%
Other 8 19%
Unknown 3 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 40%
Medicine and Dentistry 9 21%
Biochemistry, Genetics and Molecular Biology 8 19%
Immunology and Microbiology 2 5%
Nursing and Health Professions 1 2%
Other 2 5%
Unknown 3 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 22 June 2014.
All research outputs
#2,770,634
of 25,706,302 outputs
Outputs from Human Genomics
#75
of 571 outputs
Outputs of similar age
#26,758
of 240,725 outputs
Outputs of similar age from Human Genomics
#2
of 5 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 571 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 86% of its peers.
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 240,725 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 88% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.