| Title |
The mammalian transcriptome and the function of non-coding DNA sequences
|
|---|---|
| Published in |
Genome Biology, March 2004
|
| DOI | 10.1186/gb-2004-5-4-105 |
| Pubmed ID | |
| Authors |
Svetlana A Shabalina, Nikolay A Spiridonov |
| Abstract |
For decades, researchers have focused most of their attention on protein-coding genes and proteins. With the completion of the human and mouse genomes and the accumulation of data on the mammalian transcriptome, the focus now shifts to non-coding DNA sequences, RNA-coding genes and their transcripts. Many non-coding transcribed sequences are proving to have important regulatory roles, but the functions of the majority remain mysterious. |
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 % |
|---|---|---|
| Unknown | 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 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 1% |
| United States | 2 | 1% |
| Brazil | 2 | 1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Italy | 1 | <1% |
| Russia | 1 | <1% |
| Australia | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 173 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 20% |
| Student > Bachelor | 29 | 16% |
| Researcher | 27 | 15% |
| Student > Master | 24 | 13% |
| Student > Doctoral Student | 8 | 4% |
| Other | 28 | 15% |
| Unknown | 32 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 74 | 40% |
| Biochemistry, Genetics and Molecular Biology | 33 | 18% |
| Medicine and Dentistry | 12 | 6% |
| Computer Science | 8 | 4% |
| Neuroscience | 6 | 3% |
| Other | 16 | 9% |
| Unknown | 37 | 20% |
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 17 January 2024.
All research outputs
#8,098,428
of 25,728,350 outputs
Outputs from Genome Biology
#3,426
of 4,508 outputs
Outputs of similar age
#21,325
of 65,551 outputs
Outputs of similar age from Genome Biology
#7
of 19 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one is in the 23rd percentile – i.e., 23% 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 65,551 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 66% of its contemporaries.
We're also able to compare this research output to 19 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 63% of its contemporaries.