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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Contrasting patterns of longitudinal population dynamics and antimicrobial resistance mechanisms in two priority bacterial pathogens over 7 years in a single center
|
|---|---|
| Published in |
Genome Biology, September 2019
|
| DOI | 10.1186/s13059-019-1785-1 |
| Pubmed ID | |
| Authors |
Matthew J. Ellington, Eva Heinz, Alexander M. Wailan, Matthew J. Dorman, Marcus de Goffau, Amy K. Cain, Sonal P. Henson, Nicholas Gleadall, Christine J. Boinett, Gordon Dougan, Nicholas M. Brown, Neil Woodford, Julian Parkhill, M. Estée Török, Sharon J. Peacock, Nicholas R. Thomson |
X Demographics
The data shown below were collected from the profiles of 23 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 | 9 | 39% |
| United States | 2 | 9% |
| Argentina | 1 | 4% |
| Spain | 1 | 4% |
| Poland | 1 | 4% |
| Singapore | 1 | 4% |
| Australia | 1 | 4% |
| Saudi Arabia | 1 | 4% |
| Kenya | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 4 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 52% |
| Members of the public | 10 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
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 | 22 | 33% |
| Student > Ph. D. Student | 8 | 12% |
| Student > Master | 6 | 9% |
| Professor | 4 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 17 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 12 | 18% |
| Biochemistry, Genetics and Molecular Biology | 11 | 16% |
| Agricultural and Biological Sciences | 9 | 13% |
| Medicine and Dentistry | 4 | 6% |
| Business, Management and Accounting | 1 | 1% |
| Other | 6 | 9% |
| Unknown | 24 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 February 2020.
All research outputs
#3,011,136
of 25,385,509 outputs
Outputs from Genome Biology
#2,257
of 4,470 outputs
Outputs of similar age
#58,894
of 350,097 outputs
Outputs of similar age from Genome Biology
#49
of 63 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 350,097 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.