↓ Skip to main content

Faster sequencers, larger datasets, new challenges

Overview of attention for article published in Genome Biology, March 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
69 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Faster sequencers, larger datasets, new challenges
Published in
Genome Biology, March 2012
DOI 10.1186/gb-2012-13-3-314
Pubmed ID
Authors

Christopher E Mason, Olivier Elemento

Abstract

A report on the Advances in Genome Biology and Technology (AGBT) meeting, Marco Island, Florida, USA, 15-18 February 2012.

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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
United Kingdom 2 3%
Portugal 1 1%
France 1 1%
Australia 1 1%
Argentina 1 1%
New Zealand 1 1%
Unknown 59 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 25%
Researcher 17 25%
Professor > Associate Professor 6 9%
Student > Bachelor 5 7%
Professor 4 6%
Other 13 19%
Unknown 7 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 46%
Biochemistry, Genetics and Molecular Biology 15 22%
Computer Science 4 6%
Chemistry 2 3%
Medicine and Dentistry 2 3%
Other 3 4%
Unknown 11 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 March 2018.
All research outputs
#16,046,765
of 25,373,627 outputs
Outputs from Genome Biology
#4,001
of 4,467 outputs
Outputs of similar age
#104,739
of 172,510 outputs
Outputs of similar age from Genome Biology
#34
of 39 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 9th percentile – i.e., 9% 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 172,510 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.