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FALDO: A semantic standard for describing the location of nucleotide and protein feature annotation.

Overview of attention for article published in bioRxiv
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
26 tweeters
googleplus
2 Google+ users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
22 Mendeley
citeulike
1 CiteULike
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Title
FALDO: A semantic standard for describing the location of nucleotide and protein feature annotation.
Published in
bioRxiv
DOI 10.1101/002121
Authors

Bolleman, Jerven, Mungall, Christopher J, Strozzi, Francesco, Baran, Joachim, Dumontier, Michel, Bonnal, Raoul J P, Buels, Robert, Hoehndorf, Robert, Fujisawa, Takatomo, Katayama, Toshiaki, Cock, Peter J A

Twitter Demographics

The data shown below were collected from the profiles of 26 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 18%
Japan 2 9%
Sweden 1 5%
Canada 1 5%
Brazil 1 5%
Italy 1 5%
Unknown 12 55%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 64%
Professor > Associate Professor 3 14%
Student > Ph. D. Student 1 5%
Professor 1 5%
Student > Master 1 5%
Other 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 68%
Computer Science 3 14%
Biochemistry, Genetics and Molecular Biology 2 9%
Chemistry 1 5%
Unknown 1 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 09 December 2015.
All research outputs
#1,028,407
of 19,141,916 outputs
Outputs from bioRxiv
#14,018
of 136,094 outputs
Outputs of similar age
#14,081
of 270,903 outputs
Outputs of similar age from bioRxiv
#7
of 96 outputs
Altmetric has tracked 19,141,916 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 136,094 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has done well, scoring higher than 89% 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 270,903 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.