You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Differentiating Plasmodium falciparum alleles by transforming Cartesian X,Y data to polar coordinates
|
|---|---|
| Published in |
BMC Genomic Data, June 2010
|
| DOI | 10.1186/1471-2156-11-57 |
| Pubmed ID | |
| Authors |
Jeana T DaRe, Drew P Kouri, Peter A Zimmerman, Peter J Thomas |
| Abstract |
Diagnosis of infectious diseases now benefits from advancing technology to perform multiplex analysis of a growing number of variables. These advances enable simultaneous surveillance of markers characterizing species and strain complexity, mutations associated with drug susceptibility, and antigen-based polymorphisms in relation to evaluation of vaccine effectiveness. We have recently developed assays detecting single nucleotide polymorphisms (SNPs) in the P. falciparum genome that take advantage of post-PCR ligation detection reaction and fluorescent microsphere labeling strategies. Data from these assays produce a spectrum of outcomes showing that infections result from single to multiple strains. Traditional methods for distinguishing true positive signal from background can cause false positive diagnoses leading to incorrect interpretation of outcomes associated with disease treatment. |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 7% |
| United States | 1 | 3% |
| Unknown | 26 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 34% |
| Student > Ph. D. Student | 6 | 21% |
| Student > Doctoral Student | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 24% |
| Agricultural and Biological Sciences | 6 | 21% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Engineering | 3 | 10% |
| Computer Science | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 4 | 14% |
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 02 August 2010.
All research outputs
#6,492,034
of 25,373,627 outputs
Outputs from BMC Genomic Data
#211
of 1,204 outputs
Outputs of similar age
#30,285
of 103,856 outputs
Outputs of similar age from BMC Genomic Data
#5
of 12 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 82% 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 103,856 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 70% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.