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De novo sequencing and comparative analysis of holy and sweet basil transcriptomes

Overview of attention for article published in BMC Genomics, July 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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6 X users

Citations

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109 Dimensions

Readers on

mendeley
139 Mendeley
Title
De novo sequencing and comparative analysis of holy and sweet basil transcriptomes
Published in
BMC Genomics, July 2014
DOI 10.1186/1471-2164-15-588
Pubmed ID
Authors

Shubhra Rastogi, Seema Meena, Ankita Bhattacharya, Sumit Ghosh, Rakesh Kumar Shukla, Neelam Singh Sangwan, Raj Kishori Lal, Madan Mohan Gupta, Umesh Chandra Lavania, Vikrant Gupta, Dinesh A Nagegowda, Ajit Kumar Shasany

Abstract

Ocimum L. of family Lamiaceae is a well known genus for its ethnobotanical, medicinal and aromatic properties, which are attributed to innumerable phenylpropanoid and terpenoid compounds produced by the plant. To enrich genomic resources for understanding various pathways, de novo transcriptome sequencing of two important species, O. sanctum and O. basilicum, was carried out by Illumina paired-end sequencing.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 3 2%
Chile 1 <1%
Uruguay 1 <1%
Canada 1 <1%
Spain 1 <1%
Serbia 1 <1%
Unknown 131 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 27%
Researcher 22 16%
Student > Bachelor 13 9%
Student > Master 12 9%
Other 6 4%
Other 18 13%
Unknown 30 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 50%
Biochemistry, Genetics and Molecular Biology 16 12%
Medicine and Dentistry 3 2%
Chemistry 2 1%
Mathematics 1 <1%
Other 7 5%
Unknown 40 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 October 2015.
All research outputs
#12,707,201
of 22,758,248 outputs
Outputs from BMC Genomics
#4,388
of 10,637 outputs
Outputs of similar age
#101,300
of 226,376 outputs
Outputs of similar age from BMC Genomics
#67
of 198 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 57% 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 226,376 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 198 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 66% of its contemporaries.