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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Song exposure regulates known and novel microRNAs in the zebra finch auditory forebrain
|
|---|---|
| Published in |
BMC Genomics, May 2011
|
| DOI | 10.1186/1471-2164-12-277 |
| Pubmed ID | |
| Authors |
Preethi H Gunaratne, Ya-Chi Lin, Ashley L Benham, Jenny Drnevich, Cristian Coarfa, Jayantha B Tennakoon, Chad J Creighton, Jong H Kim, Aleksandar Milosavljevic, Michael Watson, Sam Griffiths-Jones, David F Clayton |
| Abstract |
In an important model for neuroscience, songbirds learn to discriminate songs they hear during tape-recorded playbacks, as demonstrated by song-specific habituation of both behavioral and neurogenomic responses in the auditory forebrain. We hypothesized that microRNAs (miRNAs or miRs) may participate in the changing pattern of gene expression induced by song exposure. To test this, we used massively parallel Illumina sequencing to analyse small RNAs from auditory forebrain of adult zebra finches exposed to tape-recorded birdsong or silence. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
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 % |
|---|---|---|
| Denmark | 2 | 2% |
| United States | 2 | 2% |
| Japan | 1 | 1% |
| Unknown | 76 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 23% |
| Researcher | 18 | 22% |
| Student > Bachelor | 10 | 12% |
| Professor | 8 | 10% |
| Other | 4 | 5% |
| Other | 14 | 17% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 47% |
| Biochemistry, Genetics and Molecular Biology | 15 | 19% |
| Neuroscience | 7 | 9% |
| Medicine and Dentistry | 4 | 5% |
| Psychology | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 9 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 May 2023.
All research outputs
#2,765,739
of 22,649,029 outputs
Outputs from BMC Genomics
#992
of 10,605 outputs
Outputs of similar age
#13,552
of 111,085 outputs
Outputs of similar age from BMC Genomics
#5
of 78 outputs
Altmetric has tracked 22,649,029 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,605 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 90% 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 111,085 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 87% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.