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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational determination of hERG-related cardiotoxicity of drug candidates
|
|---|---|
| Published in |
BMC Bioinformatics, May 2019
|
| DOI | 10.1186/s12859-019-2814-5 |
| Pubmed ID | |
| Authors |
Hyang-Mi Lee, Myeong-Sang Yu, Sayada Reemsha Kazmi, Seong Yun Oh, Ki-Hyeong Rhee, Myung-Ae Bae, Byung Ho Lee, Dae-Seop Shin, Kwang-Seok Oh, Hyithaek Ceong, Donghyun Lee, Dokyun Na |
X Demographics
The data shown below were collected from the profiles of 15 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 Kingdom | 4 | 27% |
| United States | 4 | 27% |
| Finland | 1 | 7% |
| France | 1 | 7% |
| Spain | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 67% |
| Scientists | 3 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 13% |
| Student > Ph. D. Student | 12 | 12% |
| Student > Bachelor | 9 | 9% |
| Other | 5 | 5% |
| Lecturer | 4 | 4% |
| Other | 16 | 16% |
| Unknown | 42 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 19 | 19% |
| Biochemistry, Genetics and Molecular Biology | 8 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 7% |
| Computer Science | 5 | 5% |
| Engineering | 4 | 4% |
| Other | 14 | 14% |
| Unknown | 44 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 06 March 2023.
All research outputs
#2,449,544
of 25,420,980 outputs
Outputs from BMC Bioinformatics
#606
of 7,704 outputs
Outputs of similar age
#51,043
of 364,290 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 205 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,704 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 92% 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 364,290 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 85% of its contemporaries.
We're also able to compare this research output to 205 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 90% of its contemporaries.