| Title |
Optimizing open data to support one health: best practices to ensure interoperability of genomic data from bacterial pathogens
|
|---|---|
| Published in |
One Health Outlook, October 2020
|
| DOI | 10.1186/s42522-020-00026-3 |
| Pubmed ID | |
| Authors |
Ruth E. Timme, William J. Wolfgang, Maria Balkey, Sai Laxmi Gubbala Venkata, Robyn Randolph, Marc Allard, Errol Strain |
X Demographics
The data shown below were collected from the profiles of 39 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 | 12 | 31% |
| United Kingdom | 4 | 10% |
| Australia | 2 | 5% |
| Ireland | 1 | 3% |
| China | 1 | 3% |
| Japan | 1 | 3% |
| Spain | 1 | 3% |
| South Africa | 1 | 3% |
| France | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 13 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 23 | 59% |
| Members of the public | 13 | 33% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 21% |
| Student > Ph. D. Student | 7 | 10% |
| Student > Master | 6 | 9% |
| Lecturer | 4 | 6% |
| Professor | 4 | 6% |
| Other | 13 | 19% |
| Unknown | 19 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 12% |
| Medicine and Dentistry | 8 | 12% |
| Immunology and Microbiology | 7 | 10% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Computer Science | 5 | 7% |
| Other | 15 | 22% |
| Unknown | 18 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 July 2022.
All research outputs
#1,155,443
of 25,388,177 outputs
Outputs from One Health Outlook
#13
of 84 outputs
Outputs of similar age
#30,283
of 419,931 outputs
Outputs of similar age from One Health Outlook
#2
of 6 outputs
Altmetric has tracked 25,388,177 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 84 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.6. This one has done well, scoring higher than 85% 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 419,931 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.