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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Composing compound libraries for hit discovery rationality-driven preselection or random choice by structural diversity?
|
|---|---|
| Published in |
Future Medicinal Chemistry, December 2014
|
| DOI | 10.4155/fmc.14.142 |
| Pubmed ID | |
| Authors |
Elisabeth Weidel, Matthias Negri, Martin Empting, Stefan Hinsberger, Rolf W Hartmann |
| Abstract |
In order to identify new scaffolds for drug discovery, surface plasmon resonance is frequently used to screen structurally diverse libraries. Usually, hit rates are low and identification processes are time consuming. Hence, approaches which improve hit rates and, thus, reduce the library size are required. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 11% |
| Unknown | 8 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 11% |
| Student > Doctoral Student | 1 | 11% |
| Unknown | 7 | 78% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 1 | 11% |
| Unknown | 8 | 89% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 20 December 2022.
All research outputs
#5,245,698
of 25,393,528 outputs
Outputs from Future Medicinal Chemistry
#199
of 1,195 outputs
Outputs of similar age
#69,292
of 369,178 outputs
Outputs of similar age from Future Medicinal Chemistry
#4
of 23 outputs
Altmetric has tracked 25,393,528 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,195 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 82% 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 369,178 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 23 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.