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Annotating the human genome with Disease Ontology

Overview of attention for article published in BMC Genomics, January 2009
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
175 Dimensions

Readers on

mendeley
168 Mendeley
citeulike
10 CiteULike
connotea
1 Connotea
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Title
Annotating the human genome with Disease Ontology
Published in
BMC Genomics, January 2009
DOI 10.1186/1471-2164-10-s1-s6
Pubmed ID
Authors

John D Osborne, Jared Flatow, Michelle Holko, Simon M Lin, Warren A Kibbe, Lihua Zhu, Maria I Danila, Gang Feng, Rex L Chisholm

Abstract

The human genome has been extensively annotated with Gene Ontology for biological functions, but minimally computationally annotated for diseases.

Mendeley readers

The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 8%
United Kingdom 5 3%
Spain 4 2%
Italy 2 1%
France 2 1%
Portugal 2 1%
Brazil 2 1%
Iceland 1 <1%
Malaysia 1 <1%
Other 7 4%
Unknown 129 77%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 25%
Researcher 34 20%
Student > Master 25 15%
Student > Bachelor 12 7%
Professor > Associate Professor 12 7%
Other 35 21%
Unknown 8 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 33%
Computer Science 49 29%
Biochemistry, Genetics and Molecular Biology 17 10%
Medicine and Dentistry 12 7%
Engineering 5 3%
Other 17 10%
Unknown 12 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 28 November 2016.
All research outputs
#1,705,980
of 12,373,620 outputs
Outputs from BMC Genomics
#938
of 7,296 outputs
Outputs of similar age
#15,302
of 117,349 outputs
Outputs of similar age from BMC Genomics
#6
of 53 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,296 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 87% 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 117,349 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 86% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.