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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptome and proteome quantification of a tumor model provides novel insights into post‐transcriptional gene regulation
|
|---|---|
| Published in |
Genome Biology, November 2013
|
| DOI | 10.1186/gb-2013-14-11-r133 |
| Pubmed ID | |
| Authors |
Christoph Jüschke, Ilse Dohnal, Peter Pichler, Heike Harzer, Remco Swart, Gustav Ammerer, Karl Mechtler, Juergen A Knoblich |
| Abstract |
Genome-wide transcriptome analyses have given systems-level insights into gene regulatory networks. Due to the limited depth of quantitative proteomics, however, our understanding of post-transcriptional gene regulation and its effects on protein-complex stoichiometry are lagging behind. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 29% |
| United States | 2 | 29% |
| India | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 2% |
| Korea, Republic of | 1 | 1% |
| Germany | 1 | 1% |
| South Africa | 1 | 1% |
| India | 1 | 1% |
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Philippines | 1 | 1% |
| Unknown | 90 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 29% |
| Student > Ph. D. Student | 24 | 24% |
| Student > Master | 10 | 10% |
| Student > Bachelor | 10 | 10% |
| Professor | 4 | 4% |
| Other | 10 | 10% |
| Unknown | 12 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 48% |
| Biochemistry, Genetics and Molecular Biology | 24 | 24% |
| Computer Science | 5 | 5% |
| Chemistry | 2 | 2% |
| Engineering | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 11 | 11% |
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 22 January 2014.
All research outputs
#6,406,833
of 25,706,302 outputs
Outputs from Genome Biology
#3,058
of 4,504 outputs
Outputs of similar age
#68,118
of 322,460 outputs
Outputs of similar age from Genome Biology
#65
of 93 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,504 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 32nd percentile – i.e., 32% 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 322,460 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 78% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.