Class information for: |
Basic class information |
| Class id | #P | Avg. number of references |
Database coverage of references |
|---|---|---|---|
| 25132 | 290 | 26.6 | 60% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Terms with highest relevance score |
| rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
|---|---|---|---|---|---|---|
| 1 | MULTIVARIATE SPLINE INTERPOLATION | authKW | 336939 | 1% | 80% | 4 |
| 2 | ASSOCIATING NETWORKS | authKW | 315882 | 1% | 100% | 3 |
| 3 | COMPARISON OF MODELLING TECHNIQUES | authKW | 315882 | 1% | 100% | 3 |
| 4 | MULTI OBJECTIVE SIMULTANEOUS OPTIMIZATION | authKW | 315882 | 1% | 100% | 3 |
| 5 | NEUROFUZZY LOGIC | authKW | 240668 | 1% | 57% | 4 |
| 6 | SPRINGBOARD BUSINESS | address | 236910 | 1% | 75% | 3 |
| 7 | BOOTSTRAP RESAMPLING TECHNIQUE | authKW | 210588 | 1% | 100% | 2 |
| 8 | CLIN PHARMACOKINET GRP | address | 210588 | 1% | 100% | 2 |
| 9 | DERMATOLOGICAL PATCH ADHESIVE | authKW | 210588 | 1% | 100% | 2 |
| 10 | FILM COAT FORMULATION | authKW | 210588 | 1% | 100% | 2 |
Web of Science journal categories |
| Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
|---|---|---|---|---|---|
| 1 | Pharmacology & Pharmacy | 4423 | 71% | 0% | 205 |
| 2 | Chemistry, Medicinal | 1317 | 20% | 0% | 59 |
| 3 | Chemistry, Multidisciplinary | 483 | 28% | 0% | 81 |
| 4 | Computer Science, Artificial Intelligence | 104 | 6% | 0% | 16 |
| 5 | Engineering, Chemical | 28 | 6% | 0% | 16 |
| 6 | Mathematical & Computational Biology | 10 | 1% | 0% | 4 |
| 7 | Operations Research & Management Science | 9 | 2% | 0% | 5 |
| 8 | Chemistry, Analytical | 8 | 4% | 0% | 11 |
| 9 | Medical Laboratory Technology | 6 | 1% | 0% | 3 |
| 10 | Engineering, Industrial | 5 | 1% | 0% | 3 |
Address terms |
| Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
|---|---|---|---|---|---|
| 1 | SPRINGBOARD BUSINESS | 236910 | 1% | 75% | 3 |
| 2 | CLIN PHARMACOKINET GRP | 210588 | 1% | 100% | 2 |
| 3 | ANAESTHESIOL PAIN MEDASAN MED | 105294 | 0% | 100% | 1 |
| 4 | BIOEQUIVALENCE STDY | 105294 | 0% | 100% | 1 |
| 5 | CENT ANIM CERVICES | 105294 | 0% | 100% | 1 |
| 6 | CLIN ADMINISTRAT PHARM | 105294 | 0% | 100% | 1 |
| 7 | DENT PHARM 1123A | 105294 | 0% | 100% | 1 |
| 8 | DIGITAL SIGNAL PROC GRPGDPS | 105294 | 0% | 100% | 1 |
| 9 | ESUELA TECN SUPER INGN | 105294 | 0% | 100% | 1 |
| 10 | FORMULAT DEVMINAMI KU | 105294 | 0% | 100% | 1 |
Journals |
| Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
|---|---|---|---|---|---|
| 1 | EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES | 13195 | 7% | 1% | 21 |
| 2 | JOURNAL OF PHARMACEUTICAL SCIENCES | 6343 | 9% | 0% | 26 |
| 3 | PHARMACEUTICAL DEVELOPMENT AND TECHNOLOGY | 3766 | 2% | 1% | 7 |
| 4 | INTERNATIONAL JOURNAL OF PHARMACEUTICS | 3200 | 8% | 0% | 22 |
| 5 | PHARMACEUTICAL RESEARCH | 2948 | 5% | 0% | 15 |
| 6 | DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY | 2351 | 4% | 0% | 11 |
| 7 | JOURNAL OF PHARMACEUTICAL INNOVATION | 2041 | 1% | 1% | 2 |
| 8 | PHARMACEUTICAL SCIENCE & TECHNOLOGY TODAY | 1440 | 0% | 1% | 1 |
| 9 | AAPS PHARMSCITECH | 1428 | 2% | 0% | 5 |
| 10 | JOURNAL OF PHARMACY AND PHARMACEUTICAL SCIENCES | 1365 | 1% | 0% | 3 |
Author Key Words |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
| Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
|---|---|---|---|---|
| 1 | COLBOURN, EA , ROWE, RC , (2009) NOVEL APPROACHES TO NEURAL AND EVOLUTIONARY COMPUTING IN PHARMACEUTICAL FORMULATION: CHALLENGES AND NEW POSSIBILITIES.FUTURE MEDICINAL CHEMISTRY. VOL. 1. ISSUE 4. P. 713-726 | 40 | 69% | 4 |
| 2 | IBRIC, S , DJURIC, Z , PAROJCIC, J , PETROVIC, J , (2009) ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL PRODUCT FORMULATION: NEURAL COMPUTING (RETRACTED ARTICLE. SEE VOL. 17, PG. 543, 2011).CHEMICAL INDUSTRY & CHEMICAL ENGINEERING QUARTERLY. VOL. 15. ISSUE 4. P. 227 -236 | 21 | 81% | 2 |
| 3 | WESOLOWSKI, M , SUCHACZ, B , (2012) ARTIFICIAL NEURAL NETWORKS: THEORETICAL BACKGROUND AND PHARMACEUTICAL APPLICATIONS: A REVIEW.JOURNAL OF AOAC INTERNATIONAL. VOL. 95. ISSUE 3. P. 652 -668 | 45 | 33% | 14 |
| 4 | NORIOKA, T , HAYASHI, Y , ONUKI, Y , ANDOU, H , TSUNASHIMA, D , YAMASHITA, K , TAKAYAMA, K , (2013) A NOVEL APPROACH TO ESTABLISHING THE DESIGN SPACE FOR THE ORAL FORMULATION MANUFACTURING PROCESS.CHEMICAL & PHARMACEUTICAL BULLETIN. VOL. 61. ISSUE 1. P. 39 -49 | 15 | 71% | 2 |
| 5 | MENDYK, A , KLEINEBUDDE, P , THOMMES, M , YOO, A , SZLEK, J , JACHOWICZ, R , (2010) ANALYSIS OF PELLET PROPERTIES WITH USE OF ARTIFICIAL NEURAL NETWORKS.EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES. VOL. 41. ISSUE 3-4. P. 421-429 | 16 | 62% | 7 |
| 6 | HAYASHI, Y , KIKUCHI, S , ONUKI, Y , TAKAYAMA, K , (2012) RELIABILITY EVALUATION OF NONLINEAR DESIGN SPACE IN PHARMACEUTICAL PRODUCT DEVELOPMENT.JOURNAL OF PHARMACEUTICAL SCIENCES. VOL. 101. ISSUE 1. P. 333-341 | 14 | 67% | 4 |
| 7 | MENDYK, A , GURES, S , JACHOWICZ, R , SZLEK, J , POLAK, S , WISNIOWSKA, B , KLEINEBUDDE, P , (2015) FROM HEURISTIC TO MATHEMATICAL MODELING OF DRUGS DISSOLUTION PROFILES: APPLICATION OF ARTIFICIAL NEURAL NETWORKS AND GENETIC PROGRAMMING.COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE. VOL. . ISSUE . P. - | 15 | 56% | 2 |
| 8 | UEHARA, N , HAYASHI, Y , MOCHIDA, H , OTOGURO, S , ONUKI, Y , OBATA, Y , TAKAYAMA, K , (2016) LATENT STRUCTURE ANALYSIS IN THE PHARMACEUTICAL PROCESS OF TABLETS PREPARED BY WET GRANULATION.DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY. VOL. 42. ISSUE 1. P. 116 -122 | 13 | 65% | 0 |
| 9 | MARTARELLI, D , CASETTARI, L , SHALABY, KS , SOLIMAN, ME , CESPI, M , BONACUCINA, G , FAGIOLI, L , PERINELLI, DR , LAM, JKW , PALMIERI, GF , (2016) OPTIMIZATION OF MELATONIN DISSOLUTION FROM EXTENDED RELEASE MATRICES USING ARTIFICIAL NEURAL NETWORKING.CURRENT DRUG DELIVERY. VOL. 13. ISSUE 4. P. 565 -573 | 18 | 42% | 0 |
| 10 | MENDYK, A , JACHOWICZ, R , (2007) UNIFIED METHODOLOGY OF NEURAL ANALYSIS IN DECISION SUPPORT SYSTEMS BUILT FOR PHARMACEUTICAL TECHNOLOGY.EXPERT SYSTEMS WITH APPLICATIONS. VOL. 32. ISSUE 4. P. 1124-1131 | 12 | 75% | 8 |
Classes with closest relation at Level 1 |