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X Demographics
Mendeley readers
Attention Score in Context
Title |
L_RNA_scaffolder: scaffolding genomes with transcripts
|
---|---|
Published in |
BMC Genomics, September 2013
|
DOI | 10.1186/1471-2164-14-604 |
Pubmed ID | |
Authors |
Wei Xue, Jiong-Tang Li, Ya-Ping Zhu, Guang-Yuan Hou, Xiang-Fei Kong, You-Yi Kuang, Xiao-Wen Sun |
Abstract |
Generation of large mate-pair libraries is necessary for de novo genome assembly but the procedure is complex and time-consuming. Furthermore, in some complex genomes, it is hard to increase the N50 length even with large mate-pair libraries, which leads to low transcript coverage. Thus, it is necessary to develop other simple scaffolding approaches, to at least solve the elongation of transcribed fragments. |
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 | 5 | 33% |
United Kingdom | 2 | 13% |
France | 2 | 13% |
Canada | 1 | 7% |
Sweden | 1 | 7% |
Japan | 1 | 7% |
Germany | 1 | 7% |
Unknown | 2 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 8 | 53% |
Members of the public | 6 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 3% |
Japan | 2 | 1% |
Netherlands | 1 | <1% |
Norway | 1 | <1% |
Uruguay | 1 | <1% |
France | 1 | <1% |
Brazil | 1 | <1% |
Czechia | 1 | <1% |
United Kingdom | 1 | <1% |
Other | 5 | 3% |
Unknown | 160 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 58 | 32% |
Student > Ph. D. Student | 46 | 26% |
Student > Master | 12 | 7% |
Professor > Associate Professor | 11 | 6% |
Student > Bachelor | 9 | 5% |
Other | 26 | 15% |
Unknown | 17 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 107 | 60% |
Biochemistry, Genetics and Molecular Biology | 29 | 16% |
Computer Science | 10 | 6% |
Arts and Humanities | 2 | 1% |
Medicine and Dentistry | 2 | 1% |
Other | 7 | 4% |
Unknown | 22 | 12% |
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 21 December 2020.
All research outputs
#2,049,632
of 22,719,618 outputs
Outputs from BMC Genomics
#578
of 10,626 outputs
Outputs of similar age
#19,062
of 197,573 outputs
Outputs of similar age from BMC Genomics
#8
of 140 outputs
Altmetric has tracked 22,719,618 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 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 94% 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 197,573 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 140 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 94% of its contemporaries.