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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Differences in Progression to Obstructive Lesions per High-Risk Plaque Features and Plaque Volumes With CCTA
|
|---|---|
| Published in |
JACC: Cardiovascular Imaging, November 2019
|
| DOI | 10.1016/j.jcmg.2019.09.011 |
| Pubmed ID | |
| Authors |
Sang-Eun Lee, Ji Min Sung, Daniele Andreini, Mouaz H Al-Mallah, Matthew J Budoff, Filippo Cademartiri, Kavitha Chinnaiyan, Jung Hyun Choi, Eun Ju Chun, Edoardo Conte, Ilan Gottlieb, Martin Hadamitzky, Yong Jin Kim, Byoung Kwon Lee, Jonathon A Leipsic, Erica Maffei, Hugo Marques, Pedro de Araújo Gonçalves, Gianluca Pontone, Gilbert L Raff, Sanghoon Shin, Peter H Stone, Habib Samady, Renu Virmani, Jagat Narula, Daniel S Berman, Leslee J Shaw, Jeroen J Bax, Fay Y Lin, James K Min, Hyuk-Jae Chang |
X Demographics
The data shown below were collected from the profiles of 43 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 | 13 | 30% |
| Spain | 4 | 9% |
| Mexico | 2 | 5% |
| Italy | 2 | 5% |
| Argentina | 2 | 5% |
| Australia | 1 | 2% |
| United Kingdom | 1 | 2% |
| Peru | 1 | 2% |
| Canada | 1 | 2% |
| Other | 6 | 14% |
| Unknown | 10 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 51% |
| Scientists | 8 | 19% |
| Science communicators (journalists, bloggers, editors) | 7 | 16% |
| Practitioners (doctors, other healthcare professionals) | 6 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 18% |
| Student > Doctoral Student | 7 | 14% |
| Professor > Associate Professor | 5 | 10% |
| Student > Postgraduate | 3 | 6% |
| Lecturer | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 18 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 43% |
| Engineering | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Computer Science | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 22 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 26 September 2020.
All research outputs
#1,152,244
of 25,387,668 outputs
Outputs from JACC: Cardiovascular Imaging
#367
of 2,700 outputs
Outputs of similar age
#24,944
of 374,982 outputs
Outputs of similar age from JACC: Cardiovascular Imaging
#13
of 60 outputs
Altmetric has tracked 25,387,668 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 2,700 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.1. This one has done well, scoring higher than 86% 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 374,982 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 93% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.