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Mendeley readers
Attention Score in Context
Title |
Digital Gene Expression Analysis Based on Integrated De Novo Transcriptome Assembly of Sweet Potato [Ipomoea batatas (L.) Lam.]
|
---|---|
Published in |
PLOS ONE, April 2012
|
DOI | 10.1371/journal.pone.0036234 |
Pubmed ID | |
Authors |
Xiang Tao, Ying-Hong Gu, Hai-Yan Wang, Wen Zheng, Xiao Li, Chuan-Wu Zhao, Yi-Zheng Zhang |
Abstract |
Sweet potato (Ipomoea batatas L. [Lam.]) ranks among the top six most important food crops in the world. It is widely grown throughout the world with high and stable yield, strong adaptability, rich nutrient content, and multiple uses. However, little is known about the molecular biology of this important non-model organism due to lack of genomic resources. Hence, studies based on high-throughput sequencing technologies are needed to get a comprehensive and integrated genomic resource and better understanding of gene expression patterns in different tissues and at various developmental stages. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Germany | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 1% |
China | 2 | 1% |
Kenya | 1 | <1% |
Sweden | 1 | <1% |
Austria | 1 | <1% |
Slovakia | 1 | <1% |
Chile | 1 | <1% |
Slovenia | 1 | <1% |
United States | 1 | <1% |
Other | 0 | 0% |
Unknown | 185 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 51 | 26% |
Researcher | 42 | 21% |
Student > Master | 20 | 10% |
Student > Doctoral Student | 17 | 9% |
Student > Postgraduate | 9 | 5% |
Other | 32 | 16% |
Unknown | 25 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 123 | 63% |
Biochemistry, Genetics and Molecular Biology | 20 | 10% |
Computer Science | 3 | 2% |
Chemistry | 3 | 2% |
Nursing and Health Professions | 2 | 1% |
Other | 13 | 7% |
Unknown | 32 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 30 April 2012.
All research outputs
#15,243,120
of 22,664,644 outputs
Outputs from PLOS ONE
#129,812
of 193,509 outputs
Outputs of similar age
#104,291
of 163,320 outputs
Outputs of similar age from PLOS ONE
#2,379
of 3,700 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 24th percentile – i.e., 24% 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 163,320 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,700 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.