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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High depth, whole-genome sequencing of cholera isolates from Haiti and the Dominican Republic
|
|---|---|
| Published in |
BMC Genomics, September 2012
|
| DOI | 10.1186/1471-2164-13-468 |
| Pubmed ID | |
| Authors |
Rachel Sealfon, Stephen Gire, Crystal Ellis, Stephen Calderwood, Firdausi Qadri, Lisa Hensley, Manolis Kellis, Edward T Ryan, Regina C LaRocque, Jason B Harris, Pardis C Sabeti |
| Abstract |
Whole-genome sequencing is an important tool for understanding microbial evolution and identifying the emergence of functionally important variants over the course of epidemics. In October 2010, a severe cholera epidemic began in Haiti, with additional cases identified in the neighboring Dominican Republic. We used whole-genome approaches to sequence four Vibrio cholerae isolates from Haiti and the Dominican Republic and three additional V. cholerae isolates to a high depth of coverage (>2000x); four of the seven isolates were previously sequenced. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 7% |
| Sweden | 1 | 2% |
| France | 1 | 2% |
| Denmark | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 49 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 23% |
| Researcher | 8 | 14% |
| Professor > Associate Professor | 6 | 11% |
| Student > Master | 6 | 11% |
| Student > Postgraduate | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 12 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 49% |
| Medicine and Dentistry | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Immunology and Microbiology | 3 | 5% |
| Sports and Recreations | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 15 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 12 November 2013.
All research outputs
#7,960,512
of 25,374,917 outputs
Outputs from BMC Genomics
#3,479
of 11,244 outputs
Outputs of similar age
#58,101
of 187,174 outputs
Outputs of similar age from BMC Genomics
#51
of 164 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 67% 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 187,174 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 164 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 66% of its contemporaries.