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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Weight Change and Survival after Breast Cancer in the After Breast Cancer Pooling Project
|
|---|---|
| Published in |
Cancer Epidemiology, Biomarkers & Prevention, August 2012
|
| DOI | 10.1158/1055-9965.epi-12-0306 |
| Pubmed ID | |
| Authors |
Bette J. Caan, Marilyn L. Kwan, Xiao Ou Shu, John P. Pierce, Ruth E. Patterson, Sarah J. Nechuta, Elizabeth M. Poole, Candyce H. Kroenke, Erin K. Weltzien, Shirley W. Flatt, Charles P. Quesenberry, Michelle D. Holmes, Wendy Y. Chen |
| Abstract |
Weight change after a breast cancer diagnosis has been linked to lower survival. To further understand effects of postdiagnostic weight variation on survival, we examined the relationship by comorbid status and initial body mass index (BMI). |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 43% |
| Belgium | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 85 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 24% |
| Student > Master | 11 | 13% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Bachelor | 10 | 11% |
| Professor | 4 | 5% |
| Other | 12 | 14% |
| Unknown | 20 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 45% |
| Nursing and Health Professions | 9 | 10% |
| Agricultural and Biological Sciences | 7 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Psychology | 3 | 3% |
| Other | 6 | 7% |
| Unknown | 20 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 08 May 2017.
All research outputs
#5,427,119
of 25,371,288 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#1,455
of 4,847 outputs
Outputs of similar age
#37,708
of 184,457 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#16
of 47 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,847 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one has gotten more attention than average, scoring higher than 69% 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 184,457 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 79% of its contemporaries.
We're also able to compare this research output to 47 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 65% of its contemporaries.