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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Long-Read Sequencing Revealed an Extensive Transcript Complexity in Herpesviruses
|
|---|---|
| Published in |
Frontiers in Genetics, July 2018
|
| DOI | 10.3389/fgene.2018.00259 |
| Pubmed ID | |
| Authors |
Dóra Tombácz, Zsolt Balázs, Zsolt Csabai, Michael Snyder, Zsolt Boldogkői |
| Abstract |
Long-read sequencing (LRS) techniques are very recent advancements, but they have already been used for transcriptome research in all of the three subfamilies of herpesviruses. These techniques have multiplied the number of known transcripts in each of the examined viruses. Meanwhile, they have revealed a so far hidden complexity of the herpesvirus transcriptome with the discovery of a large number of novel RNA molecules, including coding and non-coding RNAs, as well as transcript isoforms, and polycistronic RNAs. Additionally, LRS techniques have uncovered an intricate meshwork of transcriptional overlaps between adjacent and distally located genes. Here, we review the contribution of LRS to herpesvirus transcriptomics and present the complexity revealed by this technology, while also discussing the functional significance of this phenomenon. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 2 | 29% |
| Switzerland | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 23% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Master | 4 | 10% |
| Other | 3 | 8% |
| Lecturer | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 11 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 18% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Medicine and Dentistry | 4 | 10% |
| Computer Science | 2 | 5% |
| Unspecified | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 14 | 36% |
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 02 August 2018.
All research outputs
#6,893,974
of 23,094,276 outputs
Outputs from Frontiers in Genetics
#2,103
of 12,148 outputs
Outputs of similar age
#106,641
of 296,623 outputs
Outputs of similar age from Frontiers in Genetics
#45
of 157 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 12,148 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 82% 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 296,623 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 63% of its contemporaries.
We're also able to compare this research output to 157 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 70% of its contemporaries.