| Title |
In-vitro blood-brain barrier models for drug screening and permeation studies: an overview
|
|---|---|
| Published in |
Drug Design, Development and Therapy, October 2019
|
| DOI | 10.2147/dddt.s218708 |
| Pubmed ID | |
| Authors |
Sounak Bagchi, Tanya Chhibber, Behnaz Lahooti, Angela Verma, Vivek Borse, Rahul Dev Jayant |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 13% |
| Mexico | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 374 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 374 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 15% |
| Student > Master | 55 | 15% |
| Researcher | 45 | 12% |
| Student > Bachelor | 44 | 12% |
| Student > Doctoral Student | 19 | 5% |
| Other | 31 | 8% |
| Unknown | 123 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 60 | 16% |
| Biochemistry, Genetics and Molecular Biology | 43 | 11% |
| Chemistry | 28 | 7% |
| Engineering | 27 | 7% |
| Agricultural and Biological Sciences | 19 | 5% |
| Other | 62 | 17% |
| Unknown | 135 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 27 January 2022.
All research outputs
#3,403,447
of 25,774,185 outputs
Outputs from Drug Design, Development and Therapy
#194
of 2,281 outputs
Outputs of similar age
#67,311
of 364,096 outputs
Outputs of similar age from Drug Design, Development and Therapy
#4
of 29 outputs
Altmetric has tracked 25,774,185 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 91% 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 364,096 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 81% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.