↓ Skip to main content

POCUS: mining genomic sequence annotation to predict disease genes

Overview of attention for article published in Genome Biology, October 2003
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
190 Dimensions

Readers on

mendeley
110 Mendeley
citeulike
3 CiteULike
connotea
3 Connotea
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
POCUS: mining genomic sequence annotation to predict disease genes
Published in
Genome Biology, October 2003
DOI 10.1186/gb-2003-4-11-r75
Pubmed ID
Authors

Frances S Turner, Daniel R Clutterbuck, Colin AM Semple

Mendeley readers

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 %
Spain 3 3%
United Kingdom 3 3%
Belgium 2 2%
Brazil 2 2%
United States 2 2%
Canada 1 <1%
Russia 1 <1%
Netherlands 1 <1%
Greece 1 <1%
Other 1 <1%
Unknown 93 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 25%
Researcher 23 21%
Student > Master 12 11%
Professor > Associate Professor 11 10%
Other 9 8%
Other 20 18%
Unknown 7 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 39%
Computer Science 28 25%
Biochemistry, Genetics and Molecular Biology 9 8%
Medicine and Dentistry 7 6%
Psychology 4 4%
Other 8 7%
Unknown 11 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 June 2006.
All research outputs
#6,749,016
of 25,374,917 outputs
Outputs from Genome Biology
#3,157
of 4,467 outputs
Outputs of similar age
#17,358
of 57,062 outputs
Outputs of similar age from Genome Biology
#8
of 19 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 29th percentile – i.e., 29% 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 57,062 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 69% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.