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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SAGE: String-overlap Assembly of GEnomes
|
|---|---|
| Published in |
BMC Bioinformatics, September 2014
|
| DOI | 10.1186/1471-2105-15-302 |
| Pubmed ID | |
| Authors |
Lucian Ilie, Bahlul Haider, Michael Molnar, Roberto Solis-Oba |
| Abstract |
De novo genome assembly of next-generation sequencing data is one of the most important current problems in bioinformatics, essential in many biological applications. In spite of significant amount of work in this area, better solutions are still very much needed. |
X Demographics
The data shown below were collected from the profiles of 25 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 | 5 | 20% |
| United Kingdom | 4 | 16% |
| France | 1 | 4% |
| China | 1 | 4% |
| Israel | 1 | 4% |
| Sweden | 1 | 4% |
| Armenia | 1 | 4% |
| India | 1 | 4% |
| Norway | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 48% |
| Members of the public | 11 | 44% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
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 | 4 | 6% |
| Norway | 2 | 3% |
| Netherlands | 1 | 1% |
| France | 1 | 1% |
| Colombia | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| Vietnam | 1 | 1% |
| Austria | 1 | 1% |
| Germany | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 55 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 31% |
| Student > Ph. D. Student | 16 | 22% |
| Student > Master | 10 | 14% |
| Student > Bachelor | 7 | 10% |
| Other | 6 | 8% |
| Other | 6 | 8% |
| Unknown | 5 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 44% |
| Computer Science | 13 | 18% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Chemistry | 3 | 4% |
| Arts and Humanities | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 7 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 November 2014.
All research outputs
#1,608,261
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#305
of 7,454 outputs
Outputs of similar age
#17,789
of 248,874 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 113 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 95% 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 248,874 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 92% of its contemporaries.
We're also able to compare this research output to 113 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.