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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Biased Complement Diversity Selection for Effective Exploration of Chemical Space in Hit-Finding Campaigns
|
|---|---|
| Published in |
Journal of Chemical Information and Modeling, April 2019
|
| DOI | 10.1021/acs.jcim.9b00048 |
| Pubmed ID | |
| Authors |
Johanna M. Jansen, Gianfranco De Pascale, Susan Fong, Mika Lindvall, Heinz E. Moser, Keith Pfister, Bob Warne, Charles Wartchow |
X Demographics
The data shown below were collected from the profiles of 13 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 | 2 | 15% |
| Korea, Republic of | 1 | 8% |
| Greece | 1 | 8% |
| Brazil | 1 | 8% |
| Germany | 1 | 8% |
| Spain | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 46% |
| Scientists | 5 | 38% |
| Science communicators (journalists, bloggers, editors) | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 35% |
| Student > Bachelor | 6 | 11% |
| Student > Ph. D. Student | 6 | 11% |
| Professor | 3 | 5% |
| Student > Master | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 14 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 19 | 35% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 9% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Business, Management and Accounting | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 17 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 03 June 2019.
All research outputs
#5,469,266
of 25,452,734 outputs
Outputs from Journal of Chemical Information and Modeling
#1
of 1 outputs
Outputs of similar age
#106,553
of 365,049 outputs
Outputs of similar age from Journal of Chemical Information and Modeling
#40
of 120 outputs
Altmetric has tracked 25,452,734 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 365,049 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.