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X Demographics
Mendeley readers
Attention Score in Context
Title |
Extracellular matrix in high-grade serous ovarian cancer: Advances in understanding of carcinogenesis and cancer biology
|
---|---|
Published in |
Matrix Biology, February 2023
|
DOI | 10.1016/j.matbio.2023.02.004 |
Pubmed ID | |
Authors |
Yazmin Brown, Susan Hua, Pradeep S Tanwar |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 10 | 59% |
United States | 2 | 12% |
India | 1 | 6% |
Unknown | 4 | 24% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 7 | 41% |
Members of the public | 6 | 35% |
Science communicators (journalists, bloggers, editors) | 2 | 12% |
Practitioners (doctors, other healthcare professionals) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 3 | 7% |
Student > Master | 3 | 7% |
Student > Ph. D. Student | 3 | 7% |
Unspecified | 2 | 5% |
Student > Bachelor | 1 | 2% |
Other | 2 | 5% |
Unknown | 27 | 66% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 15% |
Chemistry | 3 | 7% |
Unspecified | 2 | 5% |
Chemical Engineering | 1 | 2% |
Physics and Astronomy | 1 | 2% |
Other | 1 | 2% |
Unknown | 27 | 66% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 24 March 2023.
All research outputs
#2,985,310
of 25,550,333 outputs
Outputs from Matrix Biology
#71
of 1,119 outputs
Outputs of similar age
#61,319
of 484,782 outputs
Outputs of similar age from Matrix Biology
#4
of 13 outputs
Altmetric has tracked 25,550,333 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,119 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 93% 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 484,782 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 87% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.