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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Microevolutionary analysis of Clostridium difficile genomes to investigate transmission
|
|---|---|
| Published in |
Genome Biology, December 2012
|
| DOI | 10.1186/gb-2012-13-12-r118 |
| Pubmed ID | |
| Authors |
Xavier Didelot, David W Eyre, Madeleine Cule, Camilla LC Ip, M Azim Ansari, David Griffiths, Alison Vaughan, Lily O'Connor, Tanya Golubchik, Elizabeth M Batty, Paolo Piazza, Daniel J Wilson, Rory Bowden, Peter J Donnelly, Kate E Dingle, Mark Wilcox, A Sarah Walker, Derrick W Crook, Tim E A Peto, Rosalind M Harding |
X Demographics
The data shown below were collected from the profiles of 14 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 | 2 | 14% |
| United Kingdom | 2 | 14% |
| Korea, Democratic People's Republic of | 1 | 7% |
| Netherlands | 1 | 7% |
| Spain | 1 | 7% |
| Australia | 1 | 7% |
| South Africa | 1 | 7% |
| Thailand | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 50% |
| Scientists | 5 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| United Kingdom | 2 | 1% |
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| Sweden | 1 | <1% |
| Denmark | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 189 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 45 | 23% |
| Student > Ph. D. Student | 43 | 22% |
| Student > Master | 25 | 13% |
| Professor > Associate Professor | 14 | 7% |
| Student > Bachelor | 13 | 7% |
| Other | 37 | 19% |
| Unknown | 23 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 83 | 42% |
| Biochemistry, Genetics and Molecular Biology | 22 | 11% |
| Medicine and Dentistry | 22 | 11% |
| Immunology and Microbiology | 20 | 10% |
| Mathematics | 6 | 3% |
| Other | 12 | 6% |
| Unknown | 35 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 18 June 2019.
All research outputs
#1,998,238
of 26,017,215 outputs
Outputs from Genome Biology
#1,664
of 4,520 outputs
Outputs of similar age
#18,155
of 295,098 outputs
Outputs of similar age from Genome Biology
#19
of 50 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 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one has gotten more attention than average, scoring higher than 63% 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 295,098 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 93% of its contemporaries.
We're also able to compare this research output to 50 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 62% of its contemporaries.