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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Epidemiologic data and pathogen genome sequences: a powerful synergy for public health
|
|---|---|
| Published in |
Genome Biology, November 2014
|
| DOI | 10.1186/s13059-014-0538-4 |
| Pubmed ID | |
| Authors |
Yonatan H Grad, Marc Lipsitch |
| Abstract |
Epidemiologists aim to inform the design of public health interventions with evidence on the evolution, emergence and spread of infectious diseases. Sequencing of pathogen genomes, together with date, location, clinical manifestation and other relevant data about sample origins, can contribute to describing nearly every aspect of transmission dynamics, including local transmission and global spread. The analyses of these data have implications for all levels of clinical and public health practice, from institutional infection control to policies for surveillance, prevention and treatment. This review highlights the range of epidemiological questions that can be addressed from the combination of genome sequence and traditional 'line lists' (tables of epidemiological data where each line includes demographic and clinical features of infected individuals). We identify opportunities for these data to inform interventions that reduce disease incidence and prevalence. By considering current limitations of, and challenges to, interpreting these data, we aim to outline a research agenda to accelerate the genomics-driven transformation in public health microbiology. |
X Demographics
The data shown below were collected from the profiles of 36 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 States | 10 | 28% |
| United Kingdom | 3 | 8% |
| Germany | 2 | 6% |
| Sweden | 2 | 6% |
| Canada | 2 | 6% |
| Netherlands | 1 | 3% |
| Spain | 1 | 3% |
| Norway | 1 | 3% |
| Australia | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 44% |
| Members of the public | 16 | 44% |
| Practitioners (doctors, other healthcare professionals) | 3 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| Kenya | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| Vietnam | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Taiwan | 1 | <1% |
| Saudi Arabia | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 250 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 59 | 23% |
| Student > Ph. D. Student | 50 | 19% |
| Student > Master | 40 | 15% |
| Student > Bachelor | 21 | 8% |
| Student > Doctoral Student | 14 | 5% |
| Other | 39 | 15% |
| Unknown | 38 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 70 | 27% |
| Biochemistry, Genetics and Molecular Biology | 47 | 18% |
| Medicine and Dentistry | 31 | 12% |
| Immunology and Microbiology | 20 | 8% |
| Mathematics | 10 | 4% |
| Other | 38 | 15% |
| Unknown | 45 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 08 December 2022.
All research outputs
#1,188,999
of 25,373,627 outputs
Outputs from Genome Biology
#896
of 4,467 outputs
Outputs of similar age
#15,280
of 369,872 outputs
Outputs of similar age from Genome Biology
#17
of 98 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. 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 369,872 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 95% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.