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Mendeley readers
Attention Score in Context
| Title |
High-throughput sequencing of black pepper root transcriptome
|
|---|---|
| Published in |
BMC Plant Biology, September 2012
|
| DOI | 10.1186/1471-2229-12-168 |
| Pubmed ID | |
| Authors |
Sheila MC Gordo, Daniel G Pinheiro, Edith CO Moreira, Simone M Rodrigues, Marli C Poltronieri, Oriel F de Lemos, Israel Tojal da Silva, Rommel TJ Ramos, Artur Silva, Horacio Schneider, Wilson A Silva, Iracilda Sampaio, Sylvain Darnet |
| Abstract |
Black pepper (Piper nigrum L.) is one of the most popular spices in the world. It is used in cooking and the preservation of food and even has medicinal properties. Losses in production from disease are a major limitation in the culture of this crop. The major diseases are root rot and foot rot, which are results of root infection by Fusarium solani and Phytophtora capsici, respectively. Understanding the molecular interaction between the pathogens and the host's root region is important for obtaining resistant cultivars by biotechnological breeding. Genetic and molecular data for this species, though, are limited. In this paper, RNA-Seq technology has been employed, for the first time, to describe the root transcriptome of black pepper. |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 2% |
| India | 2 | 1% |
| Colombia | 1 | <1% |
| United Kingdom | 1 | <1% |
| China | 1 | <1% |
| Unknown | 130 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 24% |
| Researcher | 27 | 20% |
| Student > Master | 15 | 11% |
| Student > Postgraduate | 13 | 9% |
| Student > Bachelor | 12 | 9% |
| Other | 17 | 12% |
| Unknown | 21 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 87 | 63% |
| Biochemistry, Genetics and Molecular Biology | 13 | 9% |
| Arts and Humanities | 2 | 1% |
| Environmental Science | 2 | 1% |
| Computer Science | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 29 | 21% |
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 31 January 2013.
All research outputs
#20,180,477
of 22,694,633 outputs
Outputs from BMC Plant Biology
#2,486
of 3,211 outputs
Outputs of similar age
#151,917
of 170,671 outputs
Outputs of similar age from BMC Plant Biology
#23
of 26 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,211 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 170,671 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.