| Title |
Bioelectronic DNA detection of human papillomaviruses using eSensor™: a model system for detection of multiple pathogens
|
|---|---|
| Published in |
BMC Infectious Diseases, June 2003
|
| DOI | 10.1186/1471-2334-3-12 |
| Authors |
Suzanne D Vernon, Daniel H Farkas, Elizabeth R Unger, Vivian Chan, Donna L Miller, Yin-Peng Chen, Gary F Blackburn, William C Reeves |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Unknown | 22 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 22% |
| Researcher | 5 | 22% |
| Student > Ph. D. Student | 5 | 22% |
| Other | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Other | 1 | 4% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 26% |
| Biochemistry, Genetics and Molecular Biology | 5 | 22% |
| Chemistry | 3 | 13% |
| Medicine and Dentistry | 2 | 9% |
| Physics and Astronomy | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 4 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 16 April 2013.
All research outputs
#7,552,525
of 23,039,416 outputs
Outputs from BMC Infectious Diseases
#2,592
of 7,728 outputs
Outputs of similar age
#16,873
of 49,149 outputs
Outputs of similar age from BMC Infectious Diseases
#3
of 3 outputs
Altmetric has tracked 23,039,416 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,728 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 62% 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 49,149 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
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.