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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Within-Host Bacterial Diversity Hinders Accurate Reconstruction of Transmission Networks from Genomic Distance Data
|
|---|---|
| Published in |
PLoS Computational Biology, March 2014
|
| DOI | 10.1371/journal.pcbi.1003549 |
| Pubmed ID | |
| Authors |
Colin J. Worby, Marc Lipsitch, William P. Hanage |
X Demographics
The data shown below were collected from the profiles of 27 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 | 6 | 22% |
| United Kingdom | 4 | 15% |
| Australia | 1 | 4% |
| Norway | 1 | 4% |
| India | 1 | 4% |
| Switzerland | 1 | 4% |
| Ireland | 1 | 4% |
| Spain | 1 | 4% |
| Italy | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 10 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 56% |
| Members of the public | 11 | 41% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| United Kingdom | 3 | 1% |
| Russia | 2 | <1% |
| Canada | 2 | <1% |
| Norway | 1 | <1% |
| Kenya | 1 | <1% |
| Switzerland | 1 | <1% |
| Portugal | 1 | <1% |
| New Zealand | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 205 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 60 | 26% |
| Student > Ph. D. Student | 47 | 21% |
| Student > Master | 27 | 12% |
| Student > Doctoral Student | 17 | 7% |
| Student > Bachelor | 14 | 6% |
| Other | 39 | 17% |
| Unknown | 23 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 86 | 38% |
| Medicine and Dentistry | 35 | 15% |
| Biochemistry, Genetics and Molecular Biology | 20 | 9% |
| Immunology and Microbiology | 12 | 5% |
| Mathematics | 10 | 4% |
| Other | 27 | 12% |
| Unknown | 37 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 29 June 2018.
All research outputs
#2,329,338
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#2,063
of 9,035 outputs
Outputs of similar age
#22,876
of 240,798 outputs
Outputs of similar age from PLoS Computational Biology
#41
of 146 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,035 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 77% 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 240,798 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 90% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.