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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Discovery of co-occurring driver pathways in cancer
|
|---|---|
| Published in |
BMC Bioinformatics, August 2014
|
| DOI | 10.1186/1471-2105-15-271 |
| Pubmed ID | |
| Authors |
Junhua Zhang, Ling-Yun Wu, Xiang-Sun Zhang, Shihua Zhang |
| Abstract |
It has been widely realized that pathways rather than individual genes govern the course of carcinogenesis. Therefore, discovering driver pathways is becoming an important step to understand the molecular mechanisms underlying cancer and design efficient treatments for cancer patients. Previous studies have focused mainly on observation of the alterations in cancer genomes at the individual gene or single pathway level. However, a great deal of evidence has indicated that multiple pathways often function cooperatively in carcinogenesis and other key biological processes. |
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 % |
|---|---|---|
| Australia | 1 | 20% |
| Japan | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 1% |
| Sweden | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 81 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 21% |
| Researcher | 15 | 18% |
| Student > Master | 12 | 14% |
| Student > Bachelor | 6 | 7% |
| Lecturer | 4 | 5% |
| Other | 18 | 21% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 26% |
| Biochemistry, Genetics and Molecular Biology | 19 | 23% |
| Computer Science | 16 | 19% |
| Medicine and Dentistry | 6 | 7% |
| Engineering | 3 | 4% |
| Other | 6 | 7% |
| Unknown | 12 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 29 August 2019.
All research outputs
#1,655,972
of 22,759,618 outputs
Outputs from BMC Bioinformatics
#363
of 7,273 outputs
Outputs of similar age
#18,007
of 230,536 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 120 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 94% 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 230,536 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.