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Web tools for large-scale 3D biological images and atlases

Overview of attention for article published in BMC Bioinformatics, June 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
44 Mendeley
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Title
Web tools for large-scale 3D biological images and atlases
Published in
BMC Bioinformatics, June 2012
DOI 10.1186/1471-2105-13-122
Pubmed ID
Authors

Zsolt L Husz, Nicholas Burton, Bill Hill, Nestor Milyaev, Richard A Baldock

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
France 1 2%
United Kingdom 1 2%
Spain 1 2%
Japan 1 2%
United States 1 2%
Unknown 38 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 32%
Student > Ph. D. Student 8 18%
Professor 6 14%
Student > Master 5 11%
Student > Bachelor 4 9%
Other 6 14%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 48%
Computer Science 8 18%
Medicine and Dentistry 3 7%
Biochemistry, Genetics and Molecular Biology 1 2%
Business, Management and Accounting 1 2%
Other 6 14%
Unknown 4 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 May 2015.
All research outputs
#5,703,272
of 22,807,037 outputs
Outputs from BMC Bioinformatics
#2,119
of 7,284 outputs
Outputs of similar age
#40,056
of 167,045 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 105 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,284 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 gotten more attention than average, scoring higher than 70% 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 167,045 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 76% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.