↓ Skip to main content

Origin of a novel protein-coding gene family with similar signal sequence in Schistosoma japonicum

Overview of attention for article published in BMC Genomics, June 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
25 Mendeley
citeulike
1 CiteULike
Title
Origin of a novel protein-coding gene family with similar signal sequence in Schistosoma japonicum
Published in
BMC Genomics, June 2012
DOI 10.1186/1471-2164-13-260
Pubmed ID
Authors

Evaristus Chibunna Mbanefo, Yu Chuanxin, Mihoko Kikuchi, Mohammed Nasir Shuaibu, Daniel Boamah, Masashi Kirinoki, Naoko Hayashi, Yuichi Chigusa, Yoshio Osada, Shinjiro Hamano, Kenji Hirayama

Abstract

Evolution of novel protein-coding genes is the bedrock of adaptive evolution. Recently, we identified six protein-coding genes with similar signal sequence from Schistosoma japonicum egg stage mRNA using signal sequence trap (SST). To find the mechanism underlying the origination of these genes with similar core promoter regions and signal sequence, we adopted an integrated approach utilizing whole genome, transcriptome and proteome database BLAST queries, other bioinformatics tools, and molecular analyses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 32%
Student > Master 6 24%
Student > Ph. D. Student 2 8%
Lecturer 2 8%
Professor 1 4%
Other 1 4%
Unknown 5 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 36%
Biochemistry, Genetics and Molecular Biology 2 8%
Psychology 2 8%
Immunology and Microbiology 2 8%
Linguistics 1 4%
Other 1 4%
Unknown 8 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 July 2012.
All research outputs
#13,667,301
of 22,671,366 outputs
Outputs from BMC Genomics
#5,263
of 10,614 outputs
Outputs of similar age
#93,132
of 163,879 outputs
Outputs of similar age from BMC Genomics
#42
of 104 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 49th percentile – i.e., 49% 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 163,879 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.