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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Scaffolder - software for manual genome scaffolding
|
|---|---|
| Published in |
Source Code for Biology and Medicine, May 2012
|
| DOI | 10.1186/1751-0473-7-4 |
| Pubmed ID | |
| Authors |
Michael D Barton, Hazel A Barton |
| Abstract |
The assembly of next-generation short-read sequencing data can result in a fragmented non-contiguous set of genomic sequences. Therefore a common step in a genome project is to join neighbouring sequence regions together and fill gaps. This scaffolding step is non-trivial and requires manually editing large blocks of nucleotide sequence. Joining these sequences together also hides the source of each region in the final genome sequence. Taken together these considerations may make reproducing or editing an existing genome scaffold difficult. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 2 | 18% |
| Germany | 1 | 9% |
| Norway | 1 | 9% |
| Japan | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Brazil | 2 | 3% |
| Sweden | 2 | 3% |
| Netherlands | 1 | 1% |
| France | 1 | 1% |
| Belgium | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 61 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 32% |
| Student > Master | 13 | 18% |
| Student > Ph. D. Student | 10 | 14% |
| Professor | 5 | 7% |
| Student > Bachelor | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 7 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 63% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Computer Science | 6 | 8% |
| Social Sciences | 2 | 3% |
| Environmental Science | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 9 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 19 April 2015.
All research outputs
#4,866,332
of 23,577,761 outputs
Outputs from Source Code for Biology and Medicine
#29
of 127 outputs
Outputs of similar age
#33,145
of 166,487 outputs
Outputs of similar age from Source Code for Biology and Medicine
#4
of 6 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 76% 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 166,487 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.