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Adapterama II: universal amplicon sequencing on Illumina platforms (TaggiMatrix)

Overview of attention for article published in PeerJ, October 2019
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
75 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Adapterama II: universal amplicon sequencing on Illumina platforms (TaggiMatrix)
Published in
PeerJ, October 2019
DOI 10.7717/peerj.7786
Pubmed ID
Authors

Travis C. Glenn, Todd W. Pierson, Natalia J. Bayona-Vásquez, Troy J. Kieran, Sandra L. Hoffberg, Jesse C. Thomas IV, Daniel E. Lefever, John W. Finger, Bei Gao, Xiaoming Bian, Swarnali Louha, Ramya T. Kolli, Kerin E. Bentley, Julie Rushmore, Kelvin Wong, Timothy I. Shaw, Michael J. Rothrock Jr, Anna M. McKee, Tai L. Guo, Rodney Mauricio, Marirosa Molina, Brian S. Cummings, Lawrence H. Lash, Kun Lu, Gregory S. Gilbert, Stephen P. Hubbell, Brant C. Faircloth

Twitter Demographics

The data shown below were collected from the profiles of 75 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 40%
Student > Master 3 30%
Professor > Associate Professor 1 10%
Student > Ph. D. Student 1 10%
Professor 1 10%
Other 0 0%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 70%
Biochemistry, Genetics and Molecular Biology 1 10%
Environmental Science 1 10%
Immunology and Microbiology 1 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 January 2020.
All research outputs
#425,242
of 14,173,941 outputs
Outputs from PeerJ
#575
of 8,062 outputs
Outputs of similar age
#14,318
of 263,782 outputs
Outputs of similar age from PeerJ
#8
of 61 outputs
Altmetric has tracked 14,173,941 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 8,062 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done particularly well, scoring higher than 92% 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 263,782 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 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.