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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PBHoney: identifying genomic variants via long-read discordance and interrupted mapping
|
|---|---|
| Published in |
BMC Bioinformatics, June 2014
|
| DOI | 10.1186/1471-2105-15-180 |
| Pubmed ID | |
| Authors |
Adam C English, William J Salerno, Jeffrey G Reid |
| Abstract |
As resequencing projects become more prevalent across a larger number of species, accurate variant identification will further elucidate the nature of genetic diversity and become increasingly relevant in genomic studies. However, the identification of larger genomic variants via DNA sequencing is limited by both the incomplete information provided by sequencing reads and the nature of the genome itself. Long-read sequencing technologies provide high-resolution access to structural variants often inaccessible to shorter reads. |
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 States | 3 | 20% |
| Norway | 2 | 13% |
| United Kingdom | 1 | 7% |
| Israel | 1 | 7% |
| Canada | 1 | 7% |
| Netherlands | 1 | 7% |
| India | 1 | 7% |
| Unknown | 5 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 80% |
| Members of the public | 3 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| United Kingdom | 2 | <1% |
| Norway | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Netherlands | 1 | <1% |
| Sweden | 1 | <1% |
| Portugal | 1 | <1% |
| Singapore | 1 | <1% |
| Australia | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 198 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 23% |
| Researcher | 48 | 23% |
| Student > Master | 22 | 10% |
| Student > Bachelor | 16 | 8% |
| Other | 10 | 5% |
| Other | 32 | 15% |
| Unknown | 34 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 82 | 39% |
| Biochemistry, Genetics and Molecular Biology | 46 | 22% |
| Computer Science | 29 | 14% |
| Engineering | 5 | 2% |
| Medicine and Dentistry | 4 | 2% |
| Other | 7 | 3% |
| Unknown | 37 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 15 April 2015.
All research outputs
#2,049,826
of 22,757,090 outputs
Outputs from BMC Bioinformatics
#529
of 7,272 outputs
Outputs of similar age
#21,869
of 229,145 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 158 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,272 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 229,145 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 90% of its contemporaries.
We're also able to compare this research output to 158 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 93% of its contemporaries.