You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
IS-seq: a novel high throughput survey of in vivo IS6110 transposition in multiple Mycobacterium tuberculosis genomes
|
|---|---|
| Published in |
BMC Genomics, June 2012
|
| DOI | 10.1186/1471-2164-13-249 |
| Pubmed ID | |
| Authors |
Alejandro Reyes, Andrea Sandoval, Andrés Cubillos-Ruiz, Katherine E Varley, Ivan Hernández-Neuta, Sofía Samper, Carlos Martín, María Jesús García, Viviana Ritacco, Lucelly López, Jaime Robledo, María Mercedes Zambrano, Robi D Mitra, Patricia Del Portillo |
| Abstract |
The insertion element IS6110 is one of the main sources of genomic variability in Mycobacterium tuberculosis, the etiological agent of human tuberculosis. Although IS 6110 has been used extensively as an epidemiological marker, the identification of the precise chromosomal insertion sites has been limited by technical challenges. Here, we present IS-seq, a novel method that combines high-throughput sequencing using Illumina technology with efficient combinatorial sample multiplexing to simultaneously probe 519 clinical isolates, identifying almost all the flanking regions of the element in a single experiment. |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Colombia | 2 | 3% |
| Sweden | 1 | 2% |
| Unknown | 59 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 33% |
| Student > Ph. D. Student | 6 | 9% |
| Professor | 5 | 8% |
| Student > Master | 5 | 8% |
| Student > Postgraduate | 4 | 6% |
| Other | 10 | 16% |
| Unknown | 13 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 13 | 20% |
| Agricultural and Biological Sciences | 11 | 17% |
| Biochemistry, Genetics and Molecular Biology | 9 | 14% |
| Medicine and Dentistry | 8 | 13% |
| Computer Science | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 17 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 March 2013.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from BMC Genomics
#9,240
of 10,614 outputs
Outputs of similar age
#150,069
of 166,060 outputs
Outputs of similar age from BMC Genomics
#91
of 102 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 166,060 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.