Title |
Cancer-Associated Thrombosis: A Clinical Scoping Review of the Risk Assessment Models Across Solid Tumours and Haematological Malignancies
|
---|---|
Published in |
International Journal of General Medicine, July 2021
|
DOI | 10.2147/ijgm.s320492 |
Pubmed ID | |
Authors |
Manar Mosaad, Mohamed Hassan Elnaem, Ejaz Cheema, Ismail Ibrahim, Jamalludin Ab Rahman, Ahlam Naila Kori, How Soon Hin |
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 | 1 | 14% |
United Kingdom | 1 | 14% |
Unknown | 5 | 71% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 14% |
Researcher | 3 | 9% |
Student > Postgraduate | 2 | 6% |
Student > Ph. D. Student | 2 | 6% |
Lecturer > Senior Lecturer | 1 | 3% |
Other | 3 | 9% |
Unknown | 19 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 29% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 9% |
Unspecified | 1 | 3% |
Computer Science | 1 | 3% |
Mathematics | 1 | 3% |
Other | 0 | 0% |
Unknown | 19 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 03 August 2021.
All research outputs
#3,337,615
of 25,728,855 outputs
Outputs from International Journal of General Medicine
#165
of 1,665 outputs
Outputs of similar age
#78,016
of 455,692 outputs
Outputs of similar age from International Journal of General Medicine
#11
of 157 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,665 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 89% 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 455,692 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 82% of its contemporaries.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.