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X Demographics
Mendeley readers
Attention Score in Context
| 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, 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, 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 |
X Demographics
The data shown below were collected from the profiles of 71 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 33 | 46% |
| United Kingdom | 3 | 4% |
| Australia | 1 | 1% |
| Brazil | 1 | 1% |
| Taiwan | 1 | 1% |
| Colombia | 1 | 1% |
| Lithuania | 1 | 1% |
| Poland | 1 | 1% |
| Cameroon | 1 | 1% |
| Other | 7 | 10% |
| Unknown | 21 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 40 | 56% |
| Members of the public | 30 | 42% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 140 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 21% |
| Student > Ph. D. Student | 24 | 17% |
| Student > Master | 19 | 14% |
| Student > Doctoral Student | 8 | 6% |
| Professor | 7 | 5% |
| Other | 14 | 10% |
| Unknown | 38 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 31% |
| Biochemistry, Genetics and Molecular Biology | 27 | 19% |
| Environmental Science | 9 | 6% |
| Immunology and Microbiology | 6 | 4% |
| Veterinary Science and Veterinary Medicine | 2 | 1% |
| Other | 12 | 9% |
| Unknown | 41 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 10 January 2022.
All research outputs
#1,026,264
of 25,364,603 outputs
Outputs from PeerJ
#1,052
of 15,131 outputs
Outputs of similar age
#22,579
of 367,403 outputs
Outputs of similar age from PeerJ
#36
of 489 outputs
Altmetric has tracked 25,364,603 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.1. This one has done particularly well, scoring higher than 93% 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 367,403 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 93% of its contemporaries.
We're also able to compare this research output to 489 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.