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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Elevated CXCL1 expression in breast cancer stroma predicts poor prognosis and is inversely associated with expression of TGF-β signaling proteins
|
|---|---|
| Published in |
BMC Cancer, October 2014
|
| DOI | 10.1186/1471-2407-14-781 |
| Pubmed ID | |
| Authors |
An Zou, Diana Lambert, Henry Yeh, Ken Yasukawa, Fariba Behbod, Fang Fan, Nikki Cheng |
| Abstract |
CXCL1 is a chemotactic cytokine shown to regulate breast cancer progression and chemo-resistance. However, the prognostic significance of CXCL1 expression in breast cancer has not been fully characterized. Fibroblasts are important cellular components of the breast tumor microenvironment, and recent studies indicate that this cell type is a potential source of CXCL1 expression in breast tumors. The goal of this study was to further characterize the expression patterns of CXCL1 in breast cancer stroma, determine the prognostic significance of stromal CXCL1 expression, and identify factors affecting stromal CXCL1 expression. |
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 % |
|---|---|---|
| Unknown | 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Argentina | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 71 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 27% |
| Researcher | 13 | 18% |
| Student > Bachelor | 10 | 14% |
| Student > Master | 8 | 11% |
| Student > Doctoral Student | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 13 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 32% |
| Biochemistry, Genetics and Molecular Biology | 12 | 16% |
| Agricultural and Biological Sciences | 11 | 15% |
| Immunology and Microbiology | 4 | 5% |
| Computer Science | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 15 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 17 December 2020.
All research outputs
#7,965,603
of 24,654,416 outputs
Outputs from BMC Cancer
#2,140
of 8,748 outputs
Outputs of similar age
#84,091
of 266,539 outputs
Outputs of similar age from BMC Cancer
#43
of 179 outputs
Altmetric has tracked 24,654,416 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,748 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 74% 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 266,539 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 179 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 74% of its contemporaries.