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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Stopping outbreaks with real-time genomic epidemiology
|
|---|---|
| Published in |
Genome Medicine, November 2014
|
| DOI | 10.1186/s13073-014-0104-4 |
| Pubmed ID | |
| Authors |
Patrick Tang, Jennifer L Gardy |
| Abstract |
One of the most successful public health applications of next-generation sequencing is whole-genome sequencing of pathogens to not only detect and characterize outbreaks, but also to inform outbreak management. Using genomics, infection control teams can now track, with extraordinarily high resolution, the transmission events within outbreaks, opening up possibilities for targeted interventions. These successes are positioning the emerging field of genomic epidemiology to replace traditional molecular epidemiology, and increasing our ability to limit the spread of multidrug-resistant organisms. |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 27% |
| United States | 2 | 13% |
| Canada | 1 | 7% |
| Ireland | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 47% |
| Scientists | 6 | 40% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| Spain | 1 | 2% |
| Unknown | 57 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 28% |
| Student > Ph. D. Student | 10 | 17% |
| Student > Master | 8 | 13% |
| Other | 6 | 10% |
| Student > Bachelor | 5 | 8% |
| Other | 6 | 10% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 30% |
| Biochemistry, Genetics and Molecular Biology | 10 | 17% |
| Immunology and Microbiology | 8 | 13% |
| Medicine and Dentistry | 7 | 12% |
| Computer Science | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 10 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 07 April 2016.
All research outputs
#1,489,050
of 25,168,110 outputs
Outputs from Genome Medicine
#324
of 1,554 outputs
Outputs of similar age
#19,827
of 375,091 outputs
Outputs of similar age from Genome Medicine
#12
of 75 outputs
Altmetric has tracked 25,168,110 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. 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 375,091 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 94% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.