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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Role of MUC20 overexpression as a predictor of recurrence and poor outcome in colorectal cancer
|
|---|---|
| Published in |
Journal of Translational Medicine, June 2013
|
| DOI | 10.1186/1479-5876-11-151 |
| Pubmed ID | |
| Authors |
Xiuying Xiao, Lisha Wang, Ping Wei, Yayun Chi, Dali Li, Qifeng Wang, Shujuan Ni, Cong Tan, Weiqi Sheng, Menghong Sun, Xiaoyan Zhou, Xiang Du |
| Abstract |
Colorectal cancer (CRC) remains one of the most common cancers worldwide. We observed that MUC20 was significantly up-regulated in CRC patients with poor prognosis based on the microarray analysis. However, little is known about the role of MUC20 in CRC. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 2% |
| Estonia | 1 | 2% |
| Ireland | 1 | 2% |
| Unknown | 42 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 31% |
| Researcher | 9 | 20% |
| Student > Master | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Other | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 29% |
| Agricultural and Biological Sciences | 6 | 13% |
| Medicine and Dentistry | 6 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 9 | 20% |
| Unknown | 7 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 22 July 2021.
All research outputs
#3,716,679
of 22,950,943 outputs
Outputs from Journal of Translational Medicine
#607
of 4,010 outputs
Outputs of similar age
#32,104
of 197,306 outputs
Outputs of similar age from Journal of Translational Medicine
#7
of 35 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,010 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 84% 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 197,306 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.