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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Let-7d suppresses growth, metastasis, and tumor macrophage infiltration in renal cell carcinoma by targeting COL3A1 and CCL7
|
|---|---|
| Published in |
Molecular Cancer, September 2014
|
| DOI | 10.1186/1476-4598-13-206 |
| Pubmed ID | |
| Authors |
Boxing Su, Wei Zhao, Bentao Shi, Zhongyuan Zhang, Xi Yu, Feng Xie, Zhongqiang Guo, Xiaoyu Zhang, Jin Liu, Qi Shen, Jinghua Wang, Xuesong Li, Zhiqian Zhang, Liqun Zhou |
| Abstract |
MicroRNAs are endogenous small noncoding RNAs that are functionally involved in numerous critical cellular processes including tumorigenesis. Data mining using a microRNA array database suggested that let-7d microRNA may be associated with renal cell carcinoma (RCC) malignant progression. Here, we performed further analyses to determine whether let-7d is functionally linked to RCC malignancy. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Malaysia | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 39 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 19% |
| Researcher | 7 | 17% |
| Student > Bachelor | 6 | 14% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Postgraduate | 5 | 12% |
| Other | 5 | 12% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 29% |
| Medicine and Dentistry | 8 | 19% |
| Biochemistry, Genetics and Molecular Biology | 7 | 17% |
| Immunology and Microbiology | 4 | 10% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 5 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 06 August 2020.
All research outputs
#6,136,401
of 22,763,032 outputs
Outputs from Molecular Cancer
#414
of 1,719 outputs
Outputs of similar age
#60,439
of 238,865 outputs
Outputs of similar age from Molecular Cancer
#3
of 44 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,719 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 75% 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 238,865 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 44 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 93% of its contemporaries.