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Mendeley readers
Attention Score in Context
| Title |
Molecular sampling of prostate cancer: a dilemma for predicting disease progression
|
|---|---|
| Published in |
BMC Medical Genomics, March 2010
|
| DOI | 10.1186/1755-8794-3-8 |
| Pubmed ID | |
| Authors |
Andrea Sboner, Francesca Demichelis, Stefano Calza, Yudi Pawitan, Sunita R Setlur, Yujin Hoshida, Sven Perner, Hans-Olov Adami, Katja Fall, Lorelei A Mucci, Philip W Kantoff, Meir Stampfer, Swen-Olof Andersson, Eberhard Varenhorst, Jan-Erik Johansson, Mark B Gerstein, Todd R Golub, Mark A Rubin, Ove Andrén |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 4 | 3% |
| United States | 3 | 2% |
| Unknown | 141 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 29% |
| Student > Ph. D. Student | 24 | 16% |
| Student > Bachelor | 12 | 8% |
| Professor > Associate Professor | 11 | 7% |
| Student > Master | 10 | 7% |
| Other | 28 | 19% |
| Unknown | 20 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 27% |
| Medicine and Dentistry | 36 | 24% |
| Biochemistry, Genetics and Molecular Biology | 31 | 21% |
| Computer Science | 4 | 3% |
| Mathematics | 3 | 2% |
| Other | 10 | 7% |
| Unknown | 24 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 05 July 2023.
All research outputs
#3,797,818
of 23,114,117 outputs
Outputs from BMC Medical Genomics
#175
of 1,238 outputs
Outputs of similar age
#16,237
of 95,086 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 3 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,238 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 85% 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 95,086 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them