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Mendeley readers
Attention Score in Context
| Title |
Small RNA expression and strain specificity in the rat
|
|---|---|
| Published in |
BMC Genomics, April 2010
|
| DOI | 10.1186/1471-2164-11-249 |
| Pubmed ID | |
| Authors |
Sam EV Linsen, Elzo de Wit, Ewart de Bruijn, Edwin Cuppen |
| Abstract |
Digital gene expression (DGE) profiling has become an established tool to study RNA expression. Here, we provide an in-depth analysis of small RNA DGE profiles from two different rat strains (BN-Lx and SHR) from six different rat tissues (spleen, liver, brain, testis, heart, kidney). We describe the expression patterns of known and novel micro (mi)RNAs and piwi-interacting (pi)RNAs. |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 5 | 6% |
| United Kingdom | 4 | 5% |
| Chile | 1 | 1% |
| Denmark | 1 | 1% |
| Russia | 1 | 1% |
| Japan | 1 | 1% |
| Unknown | 68 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 32% |
| Student > Ph. D. Student | 20 | 25% |
| Student > Bachelor | 6 | 7% |
| Student > Master | 6 | 7% |
| Professor | 5 | 6% |
| Other | 14 | 17% |
| Unknown | 4 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 54 | 67% |
| Biochemistry, Genetics and Molecular Biology | 11 | 14% |
| Medicine and Dentistry | 8 | 10% |
| Computer Science | 1 | 1% |
| Neuroscience | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 5 | 6% |
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 12 November 2014.
All research outputs
#4,696,396
of 22,787,797 outputs
Outputs from BMC Genomics
#1,998
of 10,647 outputs
Outputs of similar age
#19,836
of 93,864 outputs
Outputs of similar age from BMC Genomics
#9
of 48 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,647 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 80% 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 93,864 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 72% of its contemporaries.
We're also able to compare this research output to 48 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 70% of its contemporaries.