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Mendeley readers
Attention Score in Context
| Title |
High-throughput genotyping of single nucleotide polymorphisms with rolling circle amplification
|
|---|---|
| Published in |
BMC Genomics, August 2001
|
| DOI | 10.1186/1471-2164-2-4 |
| Pubmed ID | |
| Authors |
A Fawad Faruqi, Seiyu Hosono, Mark D Driscoll, Frank B Dean, Osama Alsmadi, Rajanikanta Bandaru, Gyanendra Kumar, Brian Grimwade, Qiuling Zong, Zhenyu Sun, Yuefen Du, Stephen Kingsmore, Tim Knott, Roger S Lasken |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Switzerland | 1 | 1% |
| France | 1 | 1% |
| Portugal | 1 | 1% |
| Australia | 1 | 1% |
| Vietnam | 1 | 1% |
| Mexico | 1 | 1% |
| Sweden | 1 | 1% |
| Unknown | 77 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 26% |
| Student > Ph. D. Student | 18 | 21% |
| Professor | 10 | 11% |
| Professor > Associate Professor | 9 | 10% |
| Student > Bachelor | 5 | 6% |
| Other | 14 | 16% |
| Unknown | 8 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 48% |
| Biochemistry, Genetics and Molecular Biology | 9 | 10% |
| Medicine and Dentistry | 7 | 8% |
| Chemistry | 4 | 5% |
| Engineering | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 13 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 June 2017.
All research outputs
#4,759,510
of 23,033,713 outputs
Outputs from BMC Genomics
#2,018
of 10,697 outputs
Outputs of similar age
#6,201
of 38,544 outputs
Outputs of similar age from BMC Genomics
#1
of 3 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,697 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% 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 38,544 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them