| Title |
In Vivo Imaging of Venous Thrombus and Pulmonary Embolism Using Novel Murine Venous Thromboembolism Model
|
|---|---|
| Published in |
JACC: Basic to Translational Science, March 2020
|
| DOI | 10.1016/j.jacbts.2020.01.010 |
| Pubmed ID | |
| Authors |
Mitsumasa Okano, Tetsuya Hara, Makoto Nishimori, Yasuhiro Irino, Seimi Satomi-Kobayashi, Masakazu Shinohara, Ryuji Toh, Farouc A. Jaffer, Tatsuro Ishida, Ken-ichi Hirata |
X Demographics
The data shown below were collected from the profiles of 54 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 | 12 | 22% |
| Japan | 4 | 7% |
| Spain | 4 | 7% |
| Nigeria | 3 | 6% |
| Bolivia, Plurinational State of | 1 | 2% |
| Chile | 1 | 2% |
| Mexico | 1 | 2% |
| Uruguay | 1 | 2% |
| Kenya | 1 | 2% |
| Other | 9 | 17% |
| Unknown | 17 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 37 | 69% |
| Practitioners (doctors, other healthcare professionals) | 12 | 22% |
| Scientists | 4 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 22% |
| Student > Ph. D. Student | 4 | 17% |
| Student > Bachelor | 3 | 13% |
| Professor > Associate Professor | 3 | 13% |
| Student > Master | 2 | 9% |
| Other | 3 | 13% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 26% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Physics and Astronomy | 2 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 6 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 18 August 2021.
All research outputs
#1,086,713
of 25,743,152 outputs
Outputs from JACC: Basic to Translational Science
#88
of 823 outputs
Outputs of similar age
#28,142
of 392,464 outputs
Outputs of similar age from JACC: Basic to Translational Science
#3
of 35 outputs
Altmetric has tracked 25,743,152 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 823 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. 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 392,464 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 35 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 91% of its contemporaries.