You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Differential distribution and enrichment of non-coding RNAs in exosomes from normal and Cancer-associated fibroblasts in colorectal cancer
|
|---|---|
| Published in |
Molecular Cancer, August 2018
|
| DOI | 10.1186/s12943-018-0863-4 |
| Pubmed ID | |
| Authors |
Mercedes Herrera, Carlos Llorens, Marta Rodríguez, Alberto Herrera, Ricardo Ramos, Beatriz Gil, Antonio Candia, María Jesús Larriba, Pilar Garre, Julie Earl, Mercedes Rodríguez-Garrote, Trinidad Caldés, Félix Bonilla, Alfredo Carrato, Vanesa García-Barberán, Cristina Peña |
| Abstract |
Exosome production from cancer-associated fibroblasts seems to be an important driver of tumor progression. We report the first in-depth biotype characterization of ncRNAs, analyzed by Next Generation Sequencing and Bioinformatics, expressed in established primary human normal and cancer-associated fibroblasts (CAFs) from cancer and normal mucosa tissues from 9 colorectal cancer patients, and/or packaged in their derived exosomes. Differential representation and enrichment analyses based on these ncRNAs revealed a significant number of differences between the ncRNA content of exosomes and the expression patterns of the normal and cancer-associated fibroblast cells. ncRNA regulatory elements are specifically packaged in CAF-derived exosomes, supporting a specific cross-talk between CAFs and colon cancer cells and/or other stromal cells, mediated by exosomes. These sncRNAs are potential biomarkers present in cancer-associated fibroblast-derived exosomes, which should thereby contribute to developing new non-invasive diagnostic, prognostic and predictive methods for clinical applications in management of cancer patients. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 27% |
| Student > Doctoral Student | 9 | 16% |
| Student > Master | 7 | 13% |
| Researcher | 6 | 11% |
| Student > Postgraduate | 2 | 4% |
| Other | 3 | 5% |
| Unknown | 14 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 32% |
| Biochemistry, Genetics and Molecular Biology | 17 | 30% |
| Agricultural and Biological Sciences | 2 | 4% |
| Social Sciences | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 17 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 19 May 2021.
All research outputs
#4,591,055
of 23,099,576 outputs
Outputs from Molecular Cancer
#311
of 1,740 outputs
Outputs of similar age
#88,461
of 331,034 outputs
Outputs of similar age from Molecular Cancer
#7
of 33 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,740 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 81% 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 331,034 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 73% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.