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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Structured RNAs and synteny regions in the pig genome
|
|---|---|
| Published in |
BMC Genomics, June 2014
|
| DOI | 10.1186/1471-2164-15-459 |
| Pubmed ID | |
| Authors |
Christian Anthon, Hakim Tafer, Jakob H Havgaard, Bo Thomsen, Jakob Hedegaard, Stefan E Seemann, Sachin Pundhir, Stephanie Kehr, Sebastian Bartschat, Mathilde Nielsen, Rasmus O Nielsen, Merete Fredholm, Peter F Stadler, Jan Gorodkin |
| Abstract |
Annotating mammalian genomes for noncoding RNAs (ncRNAs) is nontrivial since far from all ncRNAs are known and the computational models are resource demanding. Currently, the human genome holds the best mammalian ncRNA annotation, a result of numerous efforts by several groups. However, a more direct strategy is desired for the increasing number of sequenced mammalian genomes of which some, such as the pig, are relevant as disease models and production animals. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| France | 1 | 33% |
| India | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Colombia | 1 | 2% |
| Unknown | 50 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 38% |
| Researcher | 11 | 21% |
| Other | 4 | 8% |
| Professor | 3 | 6% |
| Student > Master | 3 | 6% |
| Other | 3 | 6% |
| Unknown | 8 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 48% |
| Biochemistry, Genetics and Molecular Biology | 12 | 23% |
| Medicine and Dentistry | 3 | 6% |
| Computer Science | 1 | 2% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 8 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 03 July 2014.
All research outputs
#13,176,689
of 22,757,090 outputs
Outputs from BMC Genomics
#4,753
of 10,637 outputs
Outputs of similar age
#108,809
of 229,145 outputs
Outputs of similar age from BMC Genomics
#75
of 210 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,637 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 53% 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 229,145 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 51% of its contemporaries.
We're also able to compare this research output to 210 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 62% of its contemporaries.