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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A tandem sequence motif acts as a distance-dependent enhancer in a set of genes involved in translation by binding the proteins NonO and SFPQ
|
|---|---|
| Published in |
BMC Genomics, December 2011
|
| DOI | 10.1186/1471-2164-12-624 |
| Pubmed ID | |
| Authors |
Stefan Roepcke, Silke Stahlberg, Holger Klein, Marcel H Schulz, Lars Theobald, Sabrina Gohlke, Martin Vingron, Diego J Walther |
| Abstract |
Bioinformatic analyses of expression control sequences in promoters of co-expressed or functionally related genes enable the discovery of common regulatory sequence motifs that might be involved in co-ordinated gene expression. By studying promoter sequences of the human ribosomal protein genes we recently identified a novel highly specific Localized Tandem Sequence Motif (LTSM). In this work we sought to identify additional genes and LTSM-binding proteins to elucidate potential regulatory mechanisms. |
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 % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 5% |
| United States | 1 | 3% |
| Slovenia | 1 | 3% |
| Australia | 1 | 3% |
| Unknown | 33 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 26% |
| Researcher | 10 | 26% |
| Student > Postgraduate | 5 | 13% |
| Professor > Associate Professor | 5 | 13% |
| Student > Master | 2 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 45% |
| Biochemistry, Genetics and Molecular Biology | 8 | 21% |
| Computer Science | 4 | 11% |
| Medicine and Dentistry | 2 | 5% |
| Unknown | 7 | 18% |
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 12 August 2015.
All research outputs
#6,377,613
of 22,660,862 outputs
Outputs from BMC Genomics
#2,863
of 10,610 outputs
Outputs of similar age
#57,486
of 243,104 outputs
Outputs of similar age from BMC Genomics
#76
of 296 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 10,610 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 71% 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 243,104 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 74% of its contemporaries.
We're also able to compare this research output to 296 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 71% of its contemporaries.