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The "etiome": identification and clustering of human disease etiological factors

Overview of attention for article published in BMC Bioinformatics, January 2009
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
50 Mendeley
citeulike
10 CiteULike
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Title
The "etiome": identification and clustering of human disease etiological factors
Published in
BMC Bioinformatics, January 2009
DOI 10.1186/1471-2105-10-s2-s14
Pubmed ID
Authors

Yueyi I Liu, Paul H Wise, Atul J Butte

Twitter Demographics

The data shown below were collected from the profiles of 2 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 8%
Israel 1 2%
Portugal 1 2%
Germany 1 2%
Unknown 43 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 34%
Student > Ph. D. Student 12 24%
Professor > Associate Professor 6 12%
Professor 6 12%
Student > Master 3 6%
Other 6 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 46%
Medicine and Dentistry 13 26%
Computer Science 5 10%
Biochemistry, Genetics and Molecular Biology 2 4%
Physics and Astronomy 2 4%
Other 4 8%
Unknown 1 2%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 November 2018.
All research outputs
#8,192,501
of 13,727,890 outputs
Outputs from BMC Bioinformatics
#3,275
of 5,107 outputs
Outputs of similar age
#173,734
of 307,402 outputs
Outputs of similar age from BMC Bioinformatics
#247
of 413 outputs
Altmetric has tracked 13,727,890 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,107 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 35th percentile – i.e., 35% 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 307,402 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 413 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.