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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimating variation within the genes and inferring the phylogeny of 186 sequenced diverse Escherichia coli genomes
|
|---|---|
| Published in |
BMC Genomics, October 2012
|
| DOI | 10.1186/1471-2164-13-577 |
| Pubmed ID | |
| Authors |
Rolf S Kaas, Carsten Friis, David W Ussery, Frank M Aarestrup |
| Abstract |
Escherichia coli exists in commensal and pathogenic forms. By measuring the variation of individual genes across more than a hundred sequenced genomes, gene variation can be studied in detail, including the number of mutations found for any given gene. This knowledge will be useful for creating better phylogenies, for determination of molecular clocks and for improved typing techniques. |
X Demographics
The data shown below were collected from the profiles of 15 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 | 4 | 27% |
| United States | 2 | 13% |
| France | 1 | 7% |
| Sweden | 1 | 7% |
| Ireland | 1 | 7% |
| Cameroon | 1 | 7% |
| Unknown | 5 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 7 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 288 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| Denmark | 5 | 2% |
| Sweden | 2 | <1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| South Africa | 1 | <1% |
| India | 1 | <1% |
| Czechia | 1 | <1% |
| Germany | 1 | <1% |
| Other | 4 | 1% |
| Unknown | 265 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 74 | 26% |
| Researcher | 52 | 18% |
| Student > Master | 32 | 11% |
| Student > Doctoral Student | 24 | 8% |
| Student > Bachelor | 24 | 8% |
| Other | 39 | 14% |
| Unknown | 43 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 109 | 38% |
| Biochemistry, Genetics and Molecular Biology | 56 | 19% |
| Immunology and Microbiology | 20 | 7% |
| Medicine and Dentistry | 16 | 6% |
| Computer Science | 9 | 3% |
| Other | 25 | 9% |
| Unknown | 53 | 18% |
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 16 February 2019.
All research outputs
#2,950,637
of 25,371,288 outputs
Outputs from BMC Genomics
#876
of 11,244 outputs
Outputs of similar age
#21,355
of 202,316 outputs
Outputs of similar age from BMC Genomics
#14
of 195 outputs
Altmetric has tracked 25,371,288 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 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 92% 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 202,316 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 89% of its contemporaries.
We're also able to compare this research output to 195 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.