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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying structural variation in haploid microbial genomes from short-read resequencing data using breseq
|
|---|---|
| Published in |
BMC Genomics, November 2014
|
| DOI | 10.1186/1471-2164-15-1039 |
| Pubmed ID | |
| Authors |
Jeffrey E Barrick, Geoffrey Colburn, Daniel E Deatherage, Charles C Traverse, Matthew D Strand, Jordan J Borges, David B Knoester, Aaron Reba, Austin G Meyer |
| Abstract |
Mutations that alter chromosomal structure play critical roles in evolution and disease, including in the origin of new lifestyles and pathogenic traits in microbes. Large-scale rearrangements in genomes are often mediated by recombination events involving new or existing copies of mobile genetic elements, recently duplicated genes, or other repetitive sequences. Most current software programs for predicting structural variation from short-read DNA resequencing data are intended primarily for use on human genomes. They typically disregard information in reads mapping to repeat sequences, and significant post-processing and manual examination of their output is often required to rule out false-positive predictions and precisely describe mutational events. |
X Demographics
The data shown below were collected from the profiles of 22 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 | 27% |
| Canada | 2 | 9% |
| United Kingdom | 2 | 9% |
| Switzerland | 1 | 5% |
| Denmark | 1 | 5% |
| Germany | 1 | 5% |
| Sweden | 1 | 5% |
| Unknown | 8 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 50% |
| Members of the public | 10 | 45% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 243 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| Spain | 2 | <1% |
| Switzerland | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Sweden | 1 | <1% |
| Belgium | 1 | <1% |
| Thailand | 1 | <1% |
| Unknown | 233 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 67 | 28% |
| Student > Ph. D. Student | 63 | 26% |
| Student > Master | 24 | 10% |
| Student > Bachelor | 18 | 7% |
| Student > Doctoral Student | 14 | 6% |
| Other | 24 | 10% |
| Unknown | 33 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 88 | 36% |
| Biochemistry, Genetics and Molecular Biology | 60 | 25% |
| Immunology and Microbiology | 15 | 6% |
| Medicine and Dentistry | 8 | 3% |
| Computer Science | 6 | 2% |
| Other | 23 | 9% |
| Unknown | 43 | 18% |
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 06 May 2021.
All research outputs
#2,276,164
of 25,736,439 outputs
Outputs from BMC Genomics
#570
of 11,316 outputs
Outputs of similar age
#30,215
of 371,647 outputs
Outputs of similar age from BMC Genomics
#24
of 321 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,316 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 94% 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 371,647 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 91% of its contemporaries.
We're also able to compare this research output to 321 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.