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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Methods for comprehensive experimental identification of RNA-protein interactions
|
|---|---|
| Published in |
Genome Biology, January 2014
|
| DOI | 10.1186/gb4152 |
| Pubmed ID | |
| Authors |
Colleen A McHugh, Pamela Russell, Mitchell Guttman |
| Abstract |
The importance of RNA-protein interactions in controlling mRNA regulation and non-coding RNA function is increasingly appreciated. A variety of methods exist to comprehensively define RNA-protein interactions. We describe these methods and the considerations required for designing and interpreting these experiments. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 2 | 18% |
| Turkey | 1 | 9% |
| Australia | 1 | 9% |
| Japan | 1 | 9% |
| Spain | 1 | 9% |
| New Zealand | 1 | 9% |
| France | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 432 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 2% |
| United Kingdom | 4 | <1% |
| India | 1 | <1% |
| Switzerland | 1 | <1% |
| Spain | 1 | <1% |
| Norway | 1 | <1% |
| Unknown | 414 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 138 | 32% |
| Researcher | 75 | 17% |
| Student > Master | 46 | 11% |
| Student > Bachelor | 32 | 7% |
| Student > Doctoral Student | 23 | 5% |
| Other | 50 | 12% |
| Unknown | 68 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 152 | 35% |
| Biochemistry, Genetics and Molecular Biology | 146 | 34% |
| Chemistry | 12 | 3% |
| Computer Science | 11 | 3% |
| Medicine and Dentistry | 10 | 2% |
| Other | 31 | 7% |
| Unknown | 70 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 July 2015.
All research outputs
#5,428,005
of 25,371,288 outputs
Outputs from Genome Biology
#2,942
of 4,467 outputs
Outputs of similar age
#61,132
of 322,862 outputs
Outputs of similar age from Genome Biology
#81
of 105 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 34th percentile – i.e., 34% 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 322,862 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 81% 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 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.