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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of exosomal non-coding RNAs in cancer using high-throughput sequencing
|
|---|---|
| Published in |
Journal of Translational Medicine, January 2022
|
| DOI | 10.1186/s12967-022-03231-y |
| Pubmed ID | |
| Authors |
Kamran Hosseini, Maryam Ranjbar, Abbas Pirpour Tazehkand, Parina Asgharian, Soheila Montazersaheb, Vahideh Tarhriz, Tohid Ghasemnejad |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 22% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Master | 2 | 9% |
| Other | 1 | 4% |
| Professor > Associate Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 13% |
| Medicine and Dentistry | 2 | 9% |
| Nursing and Health Professions | 2 | 9% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 12 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 July 2022.
All research outputs
#15,381,002
of 22,882,389 outputs
Outputs from Journal of Translational Medicine
#2,238
of 4,004 outputs
Outputs of similar age
#298,806
of 534,288 outputs
Outputs of similar age from Journal of Translational Medicine
#47
of 98 outputs
Altmetric has tracked 22,882,389 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,004 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 534,288 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.