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TopFed: TCGA tailored federated query processing and linking to LOD

Overview of attention for article published in Journal of Biomedical Semantics, December 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users
googleplus
1 Google+ user

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
61 Mendeley
citeulike
1 CiteULike
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Title
TopFed: TCGA tailored federated query processing and linking to LOD
Published in
Journal of Biomedical Semantics, December 2014
DOI 10.1186/2041-1480-5-47
Pubmed ID
Authors

Muhammad Saleem, Shanmukha S Padmanabhuni, Axel-Cyrille Ngonga Ngomo, Aftab Iqbal, Jonas S Almeida, Stefan Decker, Helena F Deus

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Netherlands 1 2%
Italy 1 2%
Brazil 1 2%
Canada 1 2%
Belgium 1 2%
Unknown 55 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 26%
Researcher 8 13%
Student > Bachelor 8 13%
Student > Master 6 10%
Professor > Associate Professor 5 8%
Other 13 21%
Unknown 5 8%
Readers by discipline Count As %
Computer Science 29 48%
Agricultural and Biological Sciences 10 16%
Engineering 4 7%
Biochemistry, Genetics and Molecular Biology 3 5%
Social Sciences 3 5%
Other 5 8%
Unknown 7 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 23 February 2015.
All research outputs
#6,226,370
of 22,772,779 outputs
Outputs from Journal of Biomedical Semantics
#115
of 364 outputs
Outputs of similar age
#86,440
of 360,895 outputs
Outputs of similar age from Journal of Biomedical Semantics
#8
of 14 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 364 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 68% 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 360,895 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 75% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.