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X Demographics
Mendeley readers
Attention Score in Context
Title |
Multi-omic serum biomarkers for prognosis of disease progression in prostate cancer
|
---|---|
Published in |
Journal of Translational Medicine, January 2020
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DOI | 10.1186/s12967-019-02185-y |
Pubmed ID | |
Authors |
Michael A. Kiebish, Jennifer Cullen, Prachi Mishra, Amina Ali, Eric Milliman, Leonardo O. Rodrigues, Emily Y. Chen, Vladimir Tolstikov, Lixia Zhang, Kiki Panagopoulos, Punit Shah, Yongmei Chen, Gyorgy Petrovics, Inger L. Rosner, Isabell A. Sesterhenn, David G. McLeod, Elder Granger, Rangaprasad Sarangarajan, Viatcheslav Akmaev, Alagarsamy Srinivasan, Shiv Srivastava, Niven R. Narain, Albert Dobi |
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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 21% |
Researcher | 6 | 14% |
Student > Bachelor | 4 | 9% |
Lecturer | 3 | 7% |
Other | 3 | 7% |
Other | 5 | 12% |
Unknown | 13 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 9 | 21% |
Medicine and Dentistry | 6 | 14% |
Agricultural and Biological Sciences | 3 | 7% |
Nursing and Health Professions | 1 | 2% |
Business, Management and Accounting | 1 | 2% |
Other | 8 | 19% |
Unknown | 15 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 May 2020.
All research outputs
#7,088,579
of 23,186,937 outputs
Outputs from Journal of Translational Medicine
#1,111
of 4,076 outputs
Outputs of similar age
#152,902
of 456,495 outputs
Outputs of similar age from Journal of Translational Medicine
#25
of 83 outputs
Altmetric has tracked 23,186,937 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 4,076 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 gotten more attention than average, scoring higher than 71% 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 456,495 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 65% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.