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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification and functional analysis of the BIM interactome; new clues on its possible involvement in Epstein–Barr Virus-associated diseases
|
|---|---|
| Published in |
Journal of Biological Research, December 2015
|
| DOI | 10.1186/s40709-015-0037-0 |
| Pubmed ID | |
| Authors |
Erasmia Rouka, Despoina Kyriakou |
| Abstract |
Epigenetic deregulation is a common feature in the pathogenesis of Epstein-Barr Virus (EBV)-related lymphomas and carcinomas. Previous studies have demonstrated a strong association between EBV latency in B-cells and epigenetic silencing of the tumor suppressor gene BIM. This study aimed to the construction and functional analysis of the BIM interactome in order to identify novel host genes that may be targeted by EBV. Fifty-nine unique interactors were found to compose the BIM gene network. Ontological analysis at the pathway level highlighted infectious diseases along with neuropathologies. These results underline the possible interplay between the BIM interactome and EBV-associated disorders. |
X Demographics
The data shown below were collected from the profiles of 2 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 States | 1 | 50% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 29% |
| Student > Doctoral Student | 2 | 14% |
| Professor | 2 | 14% |
| Student > Ph. D. Student | 2 | 14% |
| Student > Master | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 2 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 29% |
| Biochemistry, Genetics and Molecular Biology | 2 | 14% |
| Agricultural and Biological Sciences | 2 | 14% |
| Immunology and Microbiology | 1 | 7% |
| Neuroscience | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 21% |
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 25 December 2015.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Journal of Biological Research
#55
of 77 outputs
Outputs of similar age
#292,348
of 396,487 outputs
Outputs of similar age from Journal of Biological Research
#1
of 1 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 77 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 16th percentile – i.e., 16% 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 396,487 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them