The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
Attention Score in Context
Title |
High-throughput single nucleotide polymorphism genotyping using nanofluidic Dynamic Arrays
|
---|---|
Published in |
BMC Genomics, November 2009
|
DOI | 10.1186/1471-2164-10-561 |
Pubmed ID | |
Authors |
Jun Wang, Min Lin, Andrew Crenshaw, Amy Hutchinson, Belynda Hicks, Meredith Yeager, Sonja Berndt, Wen-Yi Huang, Richard B Hayes, Stephen J Chanock, Robert C Jones, Ramesh Ramakrishnan |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 3 | 2% |
United States | 2 | 1% |
Germany | 1 | <1% |
Malaysia | 1 | <1% |
Sweden | 1 | <1% |
Brazil | 1 | <1% |
Japan | 1 | <1% |
Canada | 1 | <1% |
Unknown | 161 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 53 | 31% |
Student > Ph. D. Student | 31 | 18% |
Student > Master | 18 | 10% |
Professor > Associate Professor | 12 | 7% |
Student > Bachelor | 10 | 6% |
Other | 27 | 16% |
Unknown | 21 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 97 | 56% |
Biochemistry, Genetics and Molecular Biology | 29 | 17% |
Environmental Science | 5 | 3% |
Medicine and Dentistry | 5 | 3% |
Chemistry | 3 | 2% |
Other | 11 | 6% |
Unknown | 22 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 March 2021.
All research outputs
#2,546,821
of 26,017,215 outputs
Outputs from BMC Genomics
#699
of 11,367 outputs
Outputs of similar age
#11,772
of 181,969 outputs
Outputs of similar age from BMC Genomics
#5
of 62 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 89th 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 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 181,969 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 62 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 91% of its contemporaries.