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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Big effects of small RNAs on legume root biotic interactions
|
|---|---|
| Published in |
Genome Biology, September 2014
|
| DOI | 10.1186/s13059-014-0475-2 |
| Pubmed ID | |
| Authors |
Huan Wang, Nam-Hai Chua |
| Abstract |
Comprehensive profiling of microRNAs (miRNAs) from the legume Medicago truncatula reveals the organization of miRNA-based regulatory modules in root biotic interactions. |
X Demographics
The data shown below were collected from the profiles of 10 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 Kingdom | 3 | 30% |
| France | 1 | 10% |
| Mexico | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 3 | 30% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 29% |
| Student > Ph. D. Student | 6 | 29% |
| Student > Doctoral Student | 3 | 14% |
| Professor | 2 | 10% |
| Student > Bachelor | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 67% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Computer Science | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Unknown | 3 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 21 May 2017.
All research outputs
#6,570,939
of 25,371,288 outputs
Outputs from Genome Biology
#3,131
of 4,467 outputs
Outputs of similar age
#64,295
of 263,242 outputs
Outputs of similar age from Genome Biology
#65
of 105 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 29th percentile – i.e., 29% 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 263,242 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.