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Mendeley readers
Attention Score in Context
| Title |
Deep RNA sequencing analysis of readthrough gene fusions in human prostate adenocarcinoma and reference samples
|
|---|---|
| Published in |
BMC Medical Genomics, January 2011
|
| DOI | 10.1186/1755-8794-4-11 |
| Pubmed ID | |
| Authors |
Serban Nacu, Wenlin Yuan, Zhengyan Kan, Deepali Bhatt, Celina Sanchez Rivers, Jeremy Stinson, Brock A Peters, Zora Modrusan, Kenneth Jung, Somasekar Seshagiri, Thomas D Wu |
Mendeley readers
The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Italy | 2 | 1% |
| France | 2 | 1% |
| Norway | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| China | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 176 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 25% |
| Researcher | 47 | 25% |
| Student > Master | 19 | 10% |
| Professor > Associate Professor | 13 | 7% |
| Student > Bachelor | 11 | 6% |
| Other | 25 | 13% |
| Unknown | 27 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 77 | 41% |
| Biochemistry, Genetics and Molecular Biology | 43 | 23% |
| Computer Science | 16 | 8% |
| Medicine and Dentistry | 15 | 8% |
| Physics and Astronomy | 2 | 1% |
| Other | 9 | 5% |
| Unknown | 28 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 06 July 2022.
All research outputs
#5,629,250
of 25,998,826 outputs
Outputs from BMC Medical Genomics
#392
of 2,483 outputs
Outputs of similar age
#36,200
of 200,522 outputs
Outputs of similar age from BMC Medical Genomics
#7
of 19 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,483 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 83% 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 200,522 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 76% of its contemporaries.
We're also able to compare this research output to 19 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 57% of its contemporaries.