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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization of the small RNA component of leaves and fruits from four different cucurbit species
|
|---|---|
| Published in |
BMC Genomics, July 2012
|
| DOI | 10.1186/1471-2164-13-329 |
| Pubmed ID | |
| Authors |
Guru Jagadeeswaran, Padma Nimmakayala, Yun Zheng, Kanchana Gowdu, Umesh K Reddy, Ramanjulu Sunkar |
| Abstract |
MicroRNAs (miRNAs) are a class of non-coding small RNAs involved in post-transcriptional regulation of gene expression critical for plant growth and development, stress responses and other diverse biological processes in plants. The Cucurbitaceae or cucurbit family represents some of economically important species, particularly those with edible and medicinal fruits. Genomic tools for the molecular analysis of members of this family are just emerging. Partial draft genome sequence became available recently for cucumber and watermelon facilitating investigation of the small RNA component of the transcriptomes in cucurbits. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | 1% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| Mexico | 1 | 1% |
| United States | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 61 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 36% |
| Student > Ph. D. Student | 15 | 22% |
| Student > Master | 7 | 10% |
| Professor > Associate Professor | 4 | 6% |
| Student > Postgraduate | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 7 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 63% |
| Biochemistry, Genetics and Molecular Biology | 9 | 13% |
| Computer Science | 2 | 3% |
| Mathematics | 1 | 1% |
| Social Sciences | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 11 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 23 September 2015.
All research outputs
#8,061,352
of 24,362,308 outputs
Outputs from BMC Genomics
#3,773
of 10,962 outputs
Outputs of similar age
#56,301
of 167,138 outputs
Outputs of similar age from BMC Genomics
#35
of 118 outputs
Altmetric has tracked 24,362,308 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 10,962 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 65% 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 167,138 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 66% of its contemporaries.
We're also able to compare this research output to 118 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 68% of its contemporaries.