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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Chromatin Structure of Epstein-Barr Virus Latent Episomes.
|
|---|---|
| Chapter number | 5 |
| Book title |
Epstein Barr Virus Volume 1
|
| Published in |
Current topics in microbiology and immunology, January 2015
|
| DOI | 10.1007/978-3-319-22822-8_5 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-922821-1, 978-3-31-922822-8
|
| Authors |
Lieberman, Paul M, Paul M. Lieberman, Lieberman, Paul M. |
| Abstract |
EBV latent infection is characterized by a highly restricted pattern of viral gene expression. EBV can establish latent infections in multiple different tissue types with remarkable variation and plasticity in viral transcription and replication. During latency, the viral genome persists as a multi-copy episome, a non-integrated-closed circular DNA with nucleosome structure similar to cellular chromosomes. Chromatin assembly and histone modifications contribute to the regulation of viral gene expression, DNA replication, and episome persistence during latency. This review focuses on how EBV latency is regulated by chromatin and its associated processes. |
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 % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 16% |
| Other | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Student > Master | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Other | 5 | 20% |
| Unknown | 8 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 28% |
| Medicine and Dentistry | 7 | 28% |
| Neuroscience | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Unknown | 9 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 October 2015.
All research outputs
#15,348,067
of 22,829,683 outputs
Outputs from Current topics in microbiology and immunology
#444
of 680 outputs
Outputs of similar age
#209,014
of 353,131 outputs
Outputs of similar age from Current topics in microbiology and immunology
#25
of 39 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 680 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 25th percentile – i.e., 25% 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 353,131 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.