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Combining heterogeneous data sources for accurate functional annotation of proteins

Overview of attention for article published in BMC Bioinformatics, February 2013
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Combining heterogeneous data sources for accurate functional annotation of proteins
Published in
BMC Bioinformatics, February 2013
DOI 10.1186/1471-2105-14-s3-s10
Pubmed ID
Authors

Artem Sokolov, Christopher Funk, Kiley Graim, Karin Verspoor, Asa Ben-Hur

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Korea, Republic of 1 2%
Italy 1 2%
Israel 1 2%
Australia 1 2%
Denmark 1 2%
India 1 2%
Unknown 48 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 19%
Student > Ph. D. Student 11 19%
Student > Master 8 14%
Professor > Associate Professor 5 9%
Student > Doctoral Student 4 7%
Other 11 19%
Unknown 7 12%
Readers by discipline Count As %
Computer Science 21 37%
Agricultural and Biological Sciences 16 28%
Biochemistry, Genetics and Molecular Biology 3 5%
Mathematics 2 4%
Business, Management and Accounting 2 4%
Other 5 9%
Unknown 8 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 September 2016.
All research outputs
#7,805,048
of 12,440,694 outputs
Outputs from BMC Bioinformatics
#3,182
of 4,617 outputs
Outputs of similar age
#146,235
of 268,738 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 23 outputs
Altmetric has tracked 12,440,694 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,617 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 22nd percentile – i.e., 22% 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 268,738 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 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.