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Article Metrics

poRe: an R package for the visualization and analysis of nanopore sequencing data

Overview of attention for article published in bioRxiv, July 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
66 tweeters
weibo
1 weibo user
googleplus
1 Google+ user

Readers on

mendeley
25 Mendeley
citeulike
1 CiteULike
Title
poRe: an R package for the visualization and analysis of nanopore sequencing data
Published in
bioRxiv, July 2014
DOI 10.1101/007567
Authors

Mick Watson, Marian Thomson, Judith Risse, Javier Santoyo-Lopez, Richard Talbot, Karim Gharbi, Mark Blaxter

Twitter Demographics

The data shown below were collected from the profiles of 66 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 8%
Czechia 1 4%
France 1 4%
Sweden 1 4%
Turkey 1 4%
United Kingdom 1 4%
Belgium 1 4%
Germany 1 4%
Poland 1 4%
Other 0 0%
Unknown 15 60%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 40%
Researcher 7 28%
Professor 3 12%
Student > Master 3 12%
Student > Bachelor 1 4%
Other 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 68%
Medicine and Dentistry 2 8%
Computer Science 2 8%
Chemistry 1 4%
Materials Science 1 4%
Other 1 4%
Unknown 1 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 11 July 2016.
All research outputs
#561,170
of 15,814,274 outputs
Outputs from bioRxiv
#5,411
of 95,391 outputs
Outputs of similar age
#7,970
of 195,254 outputs
Outputs of similar age from bioRxiv
#11
of 174 outputs
Altmetric has tracked 15,814,274 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 95,391 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has done particularly well, scoring higher than 94% 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 195,254 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 95% of its contemporaries.
We're also able to compare this research output to 174 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 93% of its contemporaries.