Indexed in Journament
combinatorial chemistry and high throughput screening
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34.8
050100
The Journament Score is computed from platform statistics — reader engagement,
accessibility, publication timeliness, keyword breadth, community impact and content
distribution — into a single 0–100 figure, recalculated as new articles and metadata
are indexed. Dimensions that cannot be measured for this journal are excluded rather
than estimated. It is independent of the paid AI Quality Analysis, which never
affects this score or the ranking.
Full methodology →
About This Journal
| Short Name | combinatorial chemistry and high throughput screening |
|---|---|
| Abbreviated Name | combinatorial chemistry and high throughput screening |
| URL | https://benthamscience.com/journals/combinatorial-chemistry-and-high-throughput-screening |
Quality Profile
6 of 12 dimensions measured
This journal
Average of scored journals
Platform statistics — the free Journament Score
AI Quality Analysis — separate paid product, ranks nothing
6 of the 12 dimensions could not be measured for this journal. They are left out entirely rather than plotted as zero, and with 6 dimensions measured there is not enough of a profile to draw as a shape.
Show the numbers
| Dimension | This journal | Corpus average |
|---|---|---|
| Engagement | 30.3 | 30.4 |
| Accessibility | 20.0 | 23.1 |
| Timeliness | 0.0 | 3.0 |
| Diversity | — | 25.8 |
| Innovation | 70.0 | 24.1 |
| Community Impact | 2.9 | 4.2 |
| Content Distribution | 76.6 | 89.2 |
| Content Quality | — | 55.1 |
| Ethics & Transparency | — | 40.5 |
| Editorial Standards | — | 33.0 |
| Publication Regularity | — | 52.9 |
| Geographic Reach | — | 30.4 |
Publications Per Year
Articles (22)
2017
Vol. 16
, No. 1
, pp. 72-81
525 views
DOI
Abstract
2015
Vol. 14
, No. 2
, pp. 182-188
369 views
DOI
Abstract
2012
Vol. 11
, No. 1
, pp. 37-42
369 views
DOI
Abstract
2012
Vol. 11
, No. 1
, pp. 63-71
349 views
DOI
Abstract
2015
Vol. 14
, No. 1
, pp. 61-67
342 views
DOI
Abstract
2012
Vol. 11
, No. 2
, pp. 143-148
341 views
DOI
Abstract
2017
Vol. 16
, No. 3
, pp. 227-235
326 views
DOI
Abstract
2013
Vol. 12
, No. 1
, pp. 1-7
314 views
DOI
Abstract
2015
Vol. 14
, No. 2
, pp. 178-181
301 views
DOI
Abstract
2013
Vol. 12
, No. 1
, pp. 53-57
295 views
DOI
Abstract
2018
Vol. 17
, No. 2
, pp. 147-153
167 views
Abstract
2018
Vol. 17
, No. 2
, pp. 127-136
134 views
Abstract
2018
2018
Vol. 17
, No. 1
, pp. 24-42
247 views
DOI
Abstract
2017
Vol. 16
, No. 1
, pp. 72-81
525 views
DOI
Abstract
2017
Vol. 16
, No. 1
, pp. 16-24
244 views
DOI
Abstract
2017
Vol. 16
, No. 3
, pp. 227-235
326 views
DOI
Abstract
2016
Vol. 15
, No. 2
, pp. 195-201
269 views
DOI
Abstract
2015
2015
Vol. 14
, No. 2
, pp. 178-181
301 views
DOI
Abstract