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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization and remediation of sample index swaps by non-redundant dual indexing on massively parallel sequencing platforms
|
|---|---|
| Published in |
BMC Genomics, May 2018
|
| DOI | 10.1186/s12864-018-4703-0 |
| Pubmed ID | |
| Authors |
Maura Costello, Mark Fleharty, Justin Abreu, Yossi Farjoun, Steven Ferriera, Laurie Holmes, Brian Granger, Lisa Green, Tom Howd, Tamara Mason, Gina Vicente, Michael Dasilva, Wendy Brodeur, Timothy DeSmet, Sheila Dodge, Niall J. Lennon, Stacey Gabriel |
X Demographics
The data shown below were collected from the profiles of 21 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 | 7 | 33% |
| United Kingdom | 2 | 10% |
| New Zealand | 1 | 5% |
| Unknown | 11 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 62% |
| Scientists | 8 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 182 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 24% |
| Researcher | 41 | 23% |
| Student > Master | 21 | 12% |
| Student > Bachelor | 11 | 6% |
| Other | 10 | 5% |
| Other | 22 | 12% |
| Unknown | 33 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 58 | 32% |
| Agricultural and Biological Sciences | 48 | 26% |
| Medicine and Dentistry | 10 | 5% |
| Immunology and Microbiology | 7 | 4% |
| Environmental Science | 4 | 2% |
| Other | 12 | 7% |
| Unknown | 43 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 20 September 2023.
All research outputs
#1,672,803
of 25,837,817 outputs
Outputs from BMC Genomics
#317
of 11,367 outputs
Outputs of similar age
#34,849
of 344,424 outputs
Outputs of similar age from BMC Genomics
#9
of 250 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 96% 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 344,424 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 89% of its contemporaries.
We're also able to compare this research output to 250 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 96% of its contemporaries.