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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reducing amplification artifacts in high multiplex amplicon sequencing by using molecular barcodes
|
|---|---|
| Published in |
BMC Genomics, August 2015
|
| DOI | 10.1186/s12864-015-1806-8 |
| Pubmed ID | |
| Authors |
Quan Peng, Ravi Vijaya Satya, Marcus Lewis, Pranay Randad, Yexun Wang |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 289 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Switzerland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Colombia | 1 | <1% |
| Mexico | 1 | <1% |
| Canada | 1 | <1% |
| China | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 280 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 77 | 27% |
| Student > Ph. D. Student | 52 | 18% |
| Student > Master | 34 | 12% |
| Other | 24 | 8% |
| Student > Bachelor | 20 | 7% |
| Other | 37 | 13% |
| Unknown | 45 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 95 | 33% |
| Agricultural and Biological Sciences | 93 | 32% |
| Medicine and Dentistry | 18 | 6% |
| Computer Science | 6 | 2% |
| Immunology and Microbiology | 6 | 2% |
| Other | 15 | 5% |
| Unknown | 56 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 02 January 2024.
All research outputs
#3,677,373
of 26,017,215 outputs
Outputs from BMC Genomics
#1,257
of 11,367 outputs
Outputs of similar age
#44,415
of 278,419 outputs
Outputs of similar age from BMC Genomics
#26
of 250 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% 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 well, scoring higher than 88% 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 278,419 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 83% 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 well, scoring higher than 89% of its contemporaries.