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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detecting epigenetic motifs in low coverage and metagenomics settings
|
|---|---|
| Published in |
BMC Bioinformatics, September 2014
|
| DOI | 10.1186/1471-2105-15-s9-s16 |
| Pubmed ID | |
| Authors |
Noam D Beckmann, Sashank Karri, Gang Fang, Ali Bashir |
| Abstract |
It has recently become possible to rapidly and accurately detect epigenetic signatures in bacterial genomes using third generation sequencing data. Monitoring the speed at which a single polymerase inserts a base in the read strand enables one to infer whether a modification is present at that specific site on the template strand. These sites can be challenging to detect in the absence of high coverage and reliable reference genomes. |
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 % |
|---|---|---|
| France | 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 7% |
| Brazil | 2 | 4% |
| United Kingdom | 1 | 2% |
| Japan | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 45 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 30% |
| Student > Master | 9 | 17% |
| Student > Bachelor | 7 | 13% |
| Researcher | 7 | 13% |
| Student > Doctoral Student | 4 | 7% |
| Other | 10 | 19% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 57% |
| Biochemistry, Genetics and Molecular Biology | 10 | 19% |
| Computer Science | 5 | 9% |
| Nursing and Health Professions | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 1 | 2% |
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 26 September 2014.
All research outputs
#20,879,072
of 23,498,099 outputs
Outputs from BMC Bioinformatics
#6,988
of 7,400 outputs
Outputs of similar age
#202,096
of 240,499 outputs
Outputs of similar age from BMC Bioinformatics
#107
of 116 outputs
Altmetric has tracked 23,498,099 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 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 240,499 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 116 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.