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Genome engineering using CRISPR/Cas: getting more versatile and more precise at the same time

Overview of attention for article published in Genome Biology, March 2016
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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 (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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23 X users

Citations

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5 Dimensions

Readers on

mendeley
68 Mendeley
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1 CiteULike
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Title
Genome engineering using CRISPR/Cas: getting more versatile and more precise at the same time
Published in
Genome Biology, March 2016
DOI 10.1186/s13059-016-0922-3
Pubmed ID
Authors

Holger Puchta

Abstract

A report on the second meeting on 'Genome Engineering and Synthetic Biology: Tools and Technologies', held 28-29 January 2016 in Ghent, Belgium.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Norway 1 1%
India 1 1%
Canada 1 1%
Mexico 1 1%
China 1 1%
United States 1 1%
Unknown 62 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 25%
Student > Ph. D. Student 16 24%
Student > Master 13 19%
Student > Bachelor 4 6%
Student > Doctoral Student 3 4%
Other 8 12%
Unknown 7 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 46%
Biochemistry, Genetics and Molecular Biology 19 28%
Medicine and Dentistry 3 4%
Business, Management and Accounting 1 1%
Immunology and Microbiology 1 1%
Other 3 4%
Unknown 10 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 18 May 2016.
All research outputs
#2,596,523
of 25,373,627 outputs
Outputs from Genome Biology
#2,076
of 4,467 outputs
Outputs of similar age
#42,387
of 329,934 outputs
Outputs of similar age from Genome Biology
#40
of 63 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has gotten more attention than average, scoring higher than 53% 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 329,934 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 87% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.