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Mendeley readers
Attention Score in Context
| Title |
MYCbase: a database of functional sites and biochemical properties of Myc in both normal and cancer cells
|
|---|---|
| Published in |
BMC Bioinformatics, April 2017
|
| DOI | 10.1186/s12859-017-1652-6 |
| Pubmed ID | |
| Authors |
Debangana Chakravorty, Tanmoy Jana, Sukhen Das Mandal, Anuradha Seth, Anubrata Bhattacharya, Sudipto Saha |
| Abstract |
Myc is an essential gene having multiple functions such as in cell growth, differentiation, apoptosis, genomic stability, angiogenesis, and disease biology. A large number of researchers dedicated to Myc biology are generating a substantial amount of data in normal and cancer cells/tissues including Burkitt's lymphoma and ovarian cancer. MYCbase ( http://bicresources.jcbose.ac.in/ssaha4/mycbase ) is a collection of experimentally supported functional sites in Myc that can influence the biological cellular processes. The functional sites were compiled according to their role which includes mutation, methylation pattern, post-translational modifications, protein-protein interactions (PPIs), and DNA interactions. In addition, biochemical properties of Myc are also compiled, which includes metabolism/pathway, protein abundance, and modulators of protein-protein interactions. The OMICS data related to Myc- like gene expression, proteomics expression using mass-spectrometry and miRNAs targeting Myc were also compiled in MYCbase. The mutation and pathway data from the MYCbase were analyzed to look at the patterns and distributions across different diseases. There were few proteins/genes found common in Myc-protein interactions and Myc-DNA binding, and these can play a significant role in transcriptional feedback loops. In this report, we present a comprehensive integration of relevant information regarding Myc in the form of MYCbase. The data compiled in MYCbase provides a reliable data resource for functional sites at the residue level and biochemical properties of Myc in various cancers. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 17% |
| Student > Ph. D. Student | 6 | 17% |
| Student > Master | 5 | 14% |
| Student > Doctoral Student | 4 | 11% |
| Student > Bachelor | 4 | 11% |
| Other | 4 | 11% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 28% |
| Agricultural and Biological Sciences | 7 | 19% |
| Medicine and Dentistry | 4 | 11% |
| Computer Science | 3 | 8% |
| Chemistry | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 9 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 May 2017.
All research outputs
#14,344,573
of 22,968,808 outputs
Outputs from BMC Bioinformatics
#4,747
of 7,306 outputs
Outputs of similar age
#173,153
of 310,521 outputs
Outputs of similar age from BMC Bioinformatics
#70
of 126 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,306 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 30th percentile – i.e., 30% 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 310,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.