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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Defining the Estimated Core Genome of Bacterial Populations Using a Bayesian Decision Model
|
|---|---|
| Published in |
PLoS Computational Biology, August 2014
|
| DOI | 10.1371/journal.pcbi.1003788 |
| Pubmed ID | |
| Authors |
Andries J. van Tonder, Shilan Mistry, James E. Bray, Dorothea M. C. Hill, Alison J. Cody, Chris L. Farmer, Keith P. Klugman, Anne von Gottberg, Stephen D. Bentley, Julian Parkhill, Keith A. Jolley, Martin C. J. Maiden, Angela B. Brueggemann |
X Demographics
The data shown below were collected from the profiles of 33 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 | 9 | 27% |
| United Kingdom | 3 | 9% |
| Argentina | 1 | 3% |
| India | 1 | 3% |
| Netherlands | 1 | 3% |
| Mexico | 1 | 3% |
| Greece | 1 | 3% |
| China | 1 | 3% |
| Australia | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 13 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 64% |
| Scientists | 11 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 1% |
| United States | 2 | 1% |
| United Kingdom | 2 | 1% |
| Sweden | 1 | <1% |
| Brazil | 1 | <1% |
| Colombia | 1 | <1% |
| Russia | 1 | <1% |
| Denmark | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 184 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 27% |
| Researcher | 41 | 21% |
| Student > Master | 32 | 16% |
| Student > Bachelor | 20 | 10% |
| Student > Postgraduate | 8 | 4% |
| Other | 27 | 14% |
| Unknown | 16 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 86 | 44% |
| Biochemistry, Genetics and Molecular Biology | 35 | 18% |
| Computer Science | 12 | 6% |
| Immunology and Microbiology | 12 | 6% |
| Medicine and Dentistry | 7 | 4% |
| Other | 21 | 11% |
| Unknown | 24 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 November 2017.
All research outputs
#1,798,083
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#1,568
of 8,960 outputs
Outputs of similar age
#18,120
of 247,555 outputs
Outputs of similar age from PLoS Computational Biology
#22
of 159 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 82% 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 247,555 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 92% of its contemporaries.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.