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Attention Score in Context
| Title |
Extracellular vesicles: potential applications in cancer diagnosis, prognosis, and epidemiology
|
|---|---|
| Published in |
BMC Clinical Pathology, April 2015
|
| DOI | 10.1186/s12907-015-0005-5 |
| Pubmed ID | |
| Authors |
Mukesh Verma, Tram Kim Lam, Elizabeth Hebert, Rao L Divi |
| Abstract |
Both normal and diseased cells continuously shed extracellular vesicles (EVs) into extracellular space, and the EVs carry molecular signatures and effectors of both health and disease. EVs reflect dynamic changes that are occurring in cells and tissue microenvironment in health and at a different stage of a disease. EVs are capable of altering the function of the recipient cells. Trafficking and reciprocal exchange of molecular information by EVs among different organs and cell types have been shown to contribute to horizontal cellular transformation, cellular reprogramming, functional alterations, and metastasis. EV contents may include tumor suppressors, phosphoproteins, proteases, growth factors, bioactive lipids, mutant oncoproteins, oncogenic transcripts, microRNAs, and DNA sequences. Therefore, the EVs present in biofluids offer unprecedented, remote, and non-invasive access to crucial molecular information about the health status of cells, including their driver mutations, classifiers, molecular subtypes, therapeutic targets, and biomarkers of drug resistance. In addition, EVs may offer a non-invasive means to assess cancer initiation, progression, risk, survival, and treatment outcomes. The goal of this review is to highlight the current status of information on the role of EVs in cancer, and to explore the utility of EVs for cancer diagnosis, prognosis, and epidemiology. |
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 States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 2 | <1% |
| Malaysia | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 213 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 58 | 27% |
| Researcher | 37 | 17% |
| Student > Master | 28 | 13% |
| Student > Bachelor | 26 | 12% |
| Student > Doctoral Student | 13 | 6% |
| Other | 25 | 12% |
| Unknown | 30 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 62 | 29% |
| Agricultural and Biological Sciences | 47 | 22% |
| Medicine and Dentistry | 32 | 15% |
| Engineering | 10 | 5% |
| Immunology and Microbiology | 9 | 4% |
| Other | 27 | 12% |
| Unknown | 30 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 April 2015.
All research outputs
#16,366,412
of 25,836,587 outputs
Outputs from BMC Clinical Pathology
#57
of 120 outputs
Outputs of similar age
#152,237
of 279,603 outputs
Outputs of similar age from BMC Clinical Pathology
#4
of 5 outputs
Altmetric has tracked 25,836,587 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 120 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 50% 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 279,603 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.