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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Intratumoral heterogeneity as a source of discordance in breast cancer biomarker classification
|
|---|---|
| Published in |
Breast Cancer Research, June 2016
|
| DOI | 10.1186/s13058-016-0725-1 |
| Pubmed ID | |
| Authors |
Emma H. Allott, Joseph Geradts, Xuezheng Sun, Stephanie M. Cohen, Gary R. Zirpoli, Thaer Khoury, Wiam Bshara, Mengjie Chen, Mark E. Sherman, Julie R. Palmer, Christine B. Ambrosone, Andrew F. Olshan, Melissa A. Troester |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 40% |
| Members of the public | 2 | 40% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 14% |
| Researcher | 10 | 13% |
| Student > Master | 10 | 13% |
| Professor > Associate Professor | 6 | 8% |
| Student > Bachelor | 5 | 7% |
| Other | 14 | 18% |
| Unknown | 20 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 20% |
| Agricultural and Biological Sciences | 14 | 18% |
| Biochemistry, Genetics and Molecular Biology | 11 | 14% |
| Engineering | 4 | 5% |
| Computer Science | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 21 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 07 July 2016.
All research outputs
#15,120,836
of 26,017,215 outputs
Outputs from Breast Cancer Research
#1,314
of 2,086 outputs
Outputs of similar age
#196,866
of 371,126 outputs
Outputs of similar age from Breast Cancer Research
#17
of 34 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,086 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one is in the 36th percentile – i.e., 36% 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 371,126 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.