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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Nexus model of cellular transition in cancer
|
|---|---|
| Published in |
Biological Research, August 2018
|
| DOI | 10.1186/s40659-018-0173-8 |
| Pubmed ID | |
| Authors |
Mukesh Yadav, Payal Chatterjee, Simran Tolani, Jaya Kulkarni, Meenakshi Mulye, Namrata Chauhan, Aditi Sakhi, Sakshi Gorey |
| Abstract |
The exact cause of cancer is one of the most immutable medical questions of the century. Cancer as an evolutionary disease must have a purpose and understanding the purpose is more important than decoding the cause. The model of cancer proposed herein, provides a link between the cellular biochemistry and cellular genetics of cancer evolution. We thus call this model as the "Nexus model" of cancer. The Nexus model is an effort to identify the most apparent route to the disease. We have tried to utilize existing cancer literature to identify the most plausible causes of cellular transition in cancer, where the primary cancer-causing agents (physical, chemical or biological) act as inducing factors to produce cellular impeders. These cellular impeders are further linked to the Nexus. The Nexus then generates codes for epigenetics and genetics in cancer development. |
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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Student > Master | 2 | 25% |
| Student > Bachelor | 1 | 13% |
| Other | 1 | 13% |
| Researcher | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 25% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Nursing and Health Professions | 1 | 13% |
| Computer Science | 1 | 13% |
| Immunology and Microbiology | 1 | 13% |
| Other | 1 | 13% |
| Unknown | 1 | 13% |
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 08 August 2018.
All research outputs
#17,292,294
of 25,385,509 outputs
Outputs from Biological Research
#326
of 642 outputs
Outputs of similar age
#219,614
of 340,782 outputs
Outputs of similar age from Biological Research
#13
of 15 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 642 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 35th percentile – i.e., 35% 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 340,782 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.