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Mendeley readers
Attention Score in Context
| Title |
MicroRNA signatures predict oestrogen receptor, progesterone receptor and HER2/neureceptor status in breast cancer
|
|---|---|
| Published in |
Breast Cancer Research, May 2009
|
| DOI | 10.1186/bcr2257 |
| Pubmed ID | |
| Authors |
Aoife J Lowery, Nicola Miller, Amanda Devaney, Roisin E McNeill, Pamela A Davoren, Christophe Lemetre, Vladimir Benes, Sabine Schmidt, Jonathon Blake, Graham Ball, Michael J Kerin |
| Abstract |
Breast cancer is a heterogeneous disease encompassing a number of phenotypically diverse tumours. Expression levels of the oestrogen, progesterone and HER2/neu receptors which characterize clinically distinct breast tumours have been shown to change during disease progression and in response to systemic therapies. Mi(cro)RNAs play critical roles in diverse biological processes and are aberrantly expressed in several human neoplasms including breast cancer, where they function as regulators of tumour behaviour and progression. The aims of this study were to identify miRNA signatures that accurately predict the oestrogen receptor (ER), progesterone receptor (PR) and HER2/neu receptor status of breast cancer patients to provide insight into the regulation of breast cancer phenotypes and progression. |
Mendeley readers
The data shown below were compiled from readership statistics for 289 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 1% |
| United States | 3 | 1% |
| Spain | 2 | <1% |
| Latvia | 1 | <1% |
| Australia | 1 | <1% |
| Malaysia | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 270 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 71 | 25% |
| Student > Ph. D. Student | 47 | 16% |
| Student > Master | 31 | 11% |
| Student > Bachelor | 25 | 9% |
| Student > Doctoral Student | 19 | 7% |
| Other | 59 | 20% |
| Unknown | 37 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 100 | 35% |
| Medicine and Dentistry | 62 | 21% |
| Biochemistry, Genetics and Molecular Biology | 50 | 17% |
| Computer Science | 12 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 1% |
| Other | 12 | 4% |
| Unknown | 49 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 19 February 2019.
All research outputs
#3,798,287
of 25,371,288 outputs
Outputs from Breast Cancer Research
#451
of 2,052 outputs
Outputs of similar age
#12,881
of 102,885 outputs
Outputs of similar age from Breast Cancer Research
#4
of 15 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 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,052 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has done well, scoring higher than 76% 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 102,885 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 84% of its contemporaries.
We're also able to compare this research output to 15 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 73% of its contemporaries.