| Title |
Temporal Trends of De Novo Malignancy Development After Heart Transplantation
|
|---|---|
| Published in |
JACC, January 2018
|
| DOI | 10.1016/j.jacc.2017.10.077 |
| Pubmed ID | |
| Authors |
Jong-Chan Youn, Josef Stehlik, Amber R Wilk, Wida Cherikh, In-Cheol Kim, Gyeong-Hun Park, Lars H Lund, Howard J Eisen, Do Young Kim, Sun Ki Lee, Suk-Won Choi, Seongwoo Han, Kyu-Hyung Ryu, Seok-Min Kang, Jon A Kobashigawa |
X Demographics
The data shown below were collected from the profiles of 26 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 | 46% |
| Spain | 2 | 8% |
| Canada | 1 | 4% |
| France | 1 | 4% |
| United Kingdom | 1 | 4% |
| Saudi Arabia | 1 | 4% |
| Nigeria | 1 | 4% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| Unknown | 6 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 54% |
| Scientists | 6 | 23% |
| Practitioners (doctors, other healthcare professionals) | 5 | 19% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 9 | 12% |
| Other | 8 | 11% |
| Researcher | 8 | 11% |
| Student > Master | 7 | 9% |
| Student > Bachelor | 7 | 9% |
| Other | 16 | 21% |
| Unknown | 21 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 45% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Nursing and Health Professions | 2 | 3% |
| Engineering | 2 | 3% |
| Psychology | 2 | 3% |
| Other | 5 | 7% |
| Unknown | 28 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 11 January 2018.
All research outputs
#1,127,787
of 26,017,215 outputs
Outputs from JACC
#2,752
of 17,045 outputs
Outputs of similar age
#25,568
of 455,808 outputs
Outputs of similar age from JACC
#64
of 180 outputs
Altmetric has tracked 26,017,215 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 17,045 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one has done well, scoring higher than 83% 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 455,808 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 94% of its contemporaries.
We're also able to compare this research output to 180 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 64% of its contemporaries.