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Evaluation of high-throughput functional categorization of human disease genes

Overview of attention for article published in BMC Bioinformatics, May 2007
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
wikipedia
1 Wikipedia page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
34 Mendeley
citeulike
3 CiteULike
connotea
3 Connotea
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Title
Evaluation of high-throughput functional categorization of human disease genes
Published in
BMC Bioinformatics, May 2007
DOI 10.1186/1471-2105-8-s3-s7
Pubmed ID
Authors

James L Chen, Yang Liu, Lee T Sam, Jianrong Li, Yves A Lussier

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 6%
Korea, Republic of 1 3%
United States 1 3%
Canada 1 3%
Unknown 29 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Professor 4 12%
Other 4 12%
Professor > Associate Professor 4 12%
Student > Master 4 12%
Other 6 18%
Unknown 4 12%
Readers by discipline Count As %
Medicine and Dentistry 8 24%
Agricultural and Biological Sciences 8 24%
Computer Science 7 21%
Philosophy 1 3%
Physics and Astronomy 1 3%
Other 5 15%
Unknown 4 12%
Attention Score in Context

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 05 January 2018.
All research outputs
#3,745,099
of 23,294,050 outputs
Outputs from BMC Bioinformatics
#1,364
of 7,377 outputs
Outputs of similar age
#10,901
of 72,751 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 48 outputs
Altmetric has tracked 23,294,050 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,377 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 81% 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 72,751 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 85% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.