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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Metabolic syndrome-breast cancer link varies by intrinsic molecular subtype
|
|---|---|
| Published in |
Diabetology & Metabolic Syndrome, September 2014
|
| DOI | 10.1186/1758-5996-6-105 |
| Pubmed ID | |
| Authors |
Immacolata Capasso, Emanuela Esposito, Michelino de Laurentiis, Nicola Maurea, Ernesta Cavalcanti, Gerardo Botti, Antonella Petrillo, Maurizio Montella, Massimiliano D’Aiuto, Carmela Coppola, Anna Crispo, Maria Grimaldi, Giuseppe Frasci, Alfredo Fucito, Gennaro Ciliberto, Giuseppe D’Aiuto |
| Abstract |
Metabolic syndrome (MS) has been shown to increase the risk of breast cancer. Existing data suggest that the strength of metabolic syndrome-breast cancer link varies by intrinsic molecular subtype, but results from worldwide literature are controversial. Primary endpoint of the study was to assess whether MS is a predictor of specific breast cancer (BC) subtype. Secondary endpoint was to determine whether components of MS can individually increase the risk of specific breast cancer subtype. |
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 % |
|---|---|---|
| Canada | 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 21% |
| Student > Master | 4 | 17% |
| Student > Ph. D. Student | 4 | 17% |
| Student > Doctoral Student | 1 | 4% |
| Professor | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 7 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 38% |
| Biochemistry, Genetics and Molecular Biology | 4 | 17% |
| Computer Science | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 26 September 2018.
All research outputs
#18,379,018
of 22,764,165 outputs
Outputs from Diabetology & Metabolic Syndrome
#463
of 662 outputs
Outputs of similar age
#180,038
of 252,277 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#11
of 22 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 662 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 15th percentile – i.e., 15% 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 252,277 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.