| Title |
Emerging Therapeutics for the Treatment of Light Chain and Transthyretin Amyloidosis
|
|---|---|
| Published in |
JACC: Basic to Translational Science, June 2019
|
| DOI | 10.1016/j.jacbts.2019.02.002 |
| Pubmed ID | |
| Authors |
Kathleen W. Zhang, Keith E. Stockerl-Goldstein, Daniel J. Lenihan |
X Demographics
The data shown below were collected from the profiles of 73 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 | 15 | 21% |
| Spain | 7 | 10% |
| United Kingdom | 6 | 8% |
| Venezuela, Bolivarian Republic of | 4 | 5% |
| Argentina | 3 | 4% |
| Colombia | 2 | 3% |
| Italy | 2 | 3% |
| Mexico | 1 | 1% |
| Russia | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 27 | 37% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 42 | 58% |
| Scientists | 11 | 15% |
| Practitioners (doctors, other healthcare professionals) | 11 | 15% |
| Science communicators (journalists, bloggers, editors) | 9 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 113 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 15% |
| Other | 16 | 14% |
| Student > Bachelor | 9 | 8% |
| Student > Ph. D. Student | 6 | 5% |
| Student > Master | 6 | 5% |
| Other | 17 | 15% |
| Unknown | 42 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 43 | 38% |
| Biochemistry, Genetics and Molecular Biology | 9 | 8% |
| Chemistry | 4 | 4% |
| Agricultural and Biological Sciences | 4 | 4% |
| Nursing and Health Professions | 3 | 3% |
| Other | 8 | 7% |
| Unknown | 42 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 August 2019.
All research outputs
#1,033,857
of 25,385,509 outputs
Outputs from JACC: Basic to Translational Science
#84
of 799 outputs
Outputs of similar age
#22,574
of 366,835 outputs
Outputs of similar age from JACC: Basic to Translational Science
#3
of 17 outputs
Altmetric has tracked 25,385,509 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 799 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. 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 366,835 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 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.