| Title |
Herb-drug interactions: a novel algorithm-assisted information system for pharmacokinetic drug interactions with herbal supplements in cancer treatment
|
|---|---|
| Published in |
European Journal of Clinical Pharmacology, June 2019
|
| DOI | 10.1007/s00228-019-02700-6 |
| Pubmed ID | |
| Authors |
Janine Ziemann, Annette Lendeckel, Susann Müller, Markus Horneber, Christoph A. Ritter |
X Demographics
The data shown below were collected from the profiles of 74 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 28 | 38% |
| Colombia | 2 | 3% |
| Argentina | 2 | 3% |
| France | 2 | 3% |
| Guatemala | 1 | 1% |
| Chile | 1 | 1% |
| Ecuador | 1 | 1% |
| El Salvador | 1 | 1% |
| Peru | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 35 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 62 | 84% |
| Practitioners (doctors, other healthcare professionals) | 9 | 12% |
| Scientists | 3 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 12% |
| Other | 5 | 12% |
| Researcher | 4 | 9% |
| Student > Bachelor | 4 | 9% |
| Professor > Associate Professor | 3 | 7% |
| Other | 8 | 19% |
| Unknown | 14 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 12 | 28% |
| Medicine and Dentistry | 6 | 14% |
| Nursing and Health Professions | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 17 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 01 November 2019.
All research outputs
#896,768
of 25,401,784 outputs
Outputs from European Journal of Clinical Pharmacology
#36
of 2,746 outputs
Outputs of similar age
#19,672
of 363,774 outputs
Outputs of similar age from European Journal of Clinical Pharmacology
#3
of 23 outputs
Altmetric has tracked 25,401,784 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,746 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 98% 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 363,774 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 23 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.