2.4 Ejemplo WoS data
Ejemplo wosdata.R en wosdata.zip. Ver Apéndice ??.
# library(dplyr)
# library(stringr)
# https://rubenfcasal.github.io/scimetr/articles/scimetr.html
# library(scimetr)
db <- readRDS("data/wosdata/db_udc_2015.rds")
str(db, 1)
## List of 11
## $ Docs :'data.frame': 856 obs. of 26 variables:
## $ Authors :'data.frame': 4051 obs. of 4 variables:
## $ AutDoc :'data.frame': 5511 obs. of 2 variables:
## $ Categories:'data.frame': 189 obs. of 2 variables:
## $ CatDoc :'data.frame': 1495 obs. of 2 variables:
## $ Areas :'data.frame': 121 obs. of 2 variables:
## $ AreaDoc :'data.frame': 1364 obs. of 2 variables:
## $ Addresses :'data.frame': 3655 obs. of 5 variables:
## $ AddAutDoc :'data.frame': 7751 obs. of 3 variables:
## $ Journals :'data.frame': 520 obs. of 12 variables:
## $ label : chr ""
## - attr(*, "variable.labels")= Named chr [1:62] "Publication type" "Author" "Book authors" "Editor" ...
## ..- attr(*, "names")= chr [1:62] "PT" "AU" "BA" "BE" ...
## - attr(*, "class")= chr "wos.db"
variable.labels <- attr(db, "variable.labels")
knitr::kable(as.data.frame(variable.labels),
caption = "Variable labels")
variable.labels | |
---|---|
PT | Publication type |
AU | Author |
BA | Book authors |
BE | Editor |
GP | Group author |
AF | Author full |
BF | Book authors fullname |
CA | Corporate author |
TI | Title |
SO | Publication name |
SE | Series title |
BS | Book series |
LA | Language |
DT | Document type |
CT | Conference title |
CY | Conference year |
CL | Conference place |
SP | Conference sponsors |
HO | Conference host |
DE | Keywords |
ID | Keywords Plus |
AB | Abstract |
C1 | Addresses |
RP | Reprint author |
EM | Author email |
RI | Researcher id numbers |
OI | Orcid numbers |
FU | Funding agency and grant number |
FX | Funding text |
CR | Cited references |
NR | Number of cited references |
TC | Times cited |
Z9 | Total times cited count |
U1 | Usage Count (Last 180 Days) |
U2 | Usage Count (Since 2013) |
PU | Publisher |
PI | Publisher city |
PA | Publisher address |
SN | ISSN |
EI | eISSN |
BN | ISBN |
J9 | Journal.ISI |
JI | Journal.ISO |
PD | Publication date |
PY | Year published |
VL | Volume |
IS | Issue |
PN | Part number |
SU | Supplement |
SI | Special issue |
MA | Meeting abstract |
BP | Beginning page |
EP | Ending page |
AR | Article number |
DI | DOI |
D2 | Book DOI |
PG | Page count |
WC | WOS category |
SC | Research areas |
GA | Document delivery number |
UT | Access number |
PM | Pub Med ID |
Veamos ahora un par de ejemplos, en el primero se buscan los documentos correspondientes a revistas (que contiene Chem
en el título de la revista journal). Para ello utilizamos la función grepl()
que busca las coincidencias con el patrón Chem
dentro de cada elemento de un vector de caracteres.
## [1] "J. Am. Chem. Soc."
## [2] "Inorg. Chem."
## [3] "J. Chem. Phys."
## [4] "J. Chem. Thermodyn."
## [5] "J. Solid State Chem."
## [6] "Chemosphere"
## [7] "Antimicrob. Agents Chemother."
## [8] "Trac-Trends Anal. Chem."
## [9] "Eur. J. Med. Chem."
## [10] "J. Chem. Technol. Biotechnol."
## [11] "J. Antimicrob. Chemother."
## [12] "Food Chem."
## [13] "Cancer Chemother. Pharmacol."
## [14] "Int. J. Chem. Kinet."
## [15] "Chem.-Eur. J."
## [16] "J. Phys. Chem. A"
## [17] "New J. Chem."
## [18] "Chem. Commun."
## [19] "Chem. Eng. J."
## [20] "Comb. Chem. High Throughput Screen"
## [21] "Mini-Rev. Med. Chem."
## [22] "Phys. Chem. Chem. Phys."
## [23] "Org. Biomol. Chem."
## [24] "J. Chem Inf. Model."
## [25] "ACS Chem. Biol."
## [26] "Environ. Chem. Lett."
## [27] "Anal. Bioanal. Chem."
## [28] "J. Cheminformatics"
## [29] "J. Mat. Chem. B"
## [1] 2 4 16 23 43 69 119 126 138 175 188 190 203 208
## [15] 226 240 272 337 338 341 342 357 382 385 386 387 388 394
## [29] 411 412 428 460 483 518 525 584 600 604 605 616 620 665
## [43] 697 751 753 775 784 796 806 808 847 848
## idd idj PT DT NR TC Z9 U1 U2 PD PY VL
## 2 2 37 Journal Article 45 5 5 0 0 DEC 21 2015 54
## 4 4 272 Journal Article 78 2 2 4 21 DEC 14 2015 21
## 16 16 195 Journal Article 34 2 2 0 0 DEC 2015 70
## 23 23 436 Journal Article 48 3 3 0 4 DEC 2015 10
## 43 43 455 Journal Review 214 0 0 0 8 DEC 2015 13
## 69 69 37 Journal Article 86 2 2 8 28 NOV 2 2015 54
## IS PN SU SI MA BP EP AR
## 2 24 11680 11687
## 4 51 18662 18670
## 16 12 3222 3229
## 23 12 2850 2860
## 43 4 413 430
## 69 21 10342 10350
## DI D2 PG UT an
## 2 10.1021/acs.inorgchem.5b01652 8 367118100013 9
## 4 10.1002/chem.201502937 9 368280400026 8
## 16 10.1093/jac/dkv262 8 368246800008 10
## 23 10.1021/acschembio.5b00624 11 366875400020 10
## 43 10.1007/s10311-015-0526-2 18 365096700004 2
## 69 10.1021/acs.inorgchem.5b01719 9 364175000028 8
En este segundo ejemplo, se buscan los documentos correspondientes a autores (que contiene Abad
en su nombre):
## [1] "Mato Abad, Virginia" "Abad, Maria-Jose"
## [3] "Abad Vicente, J." "Abada, Sabah"
## [1] 273 291 518 586
## idd idj PT DT NR TC Z9 U1 U2 PD
## 273 273 282 Journal Article 107 8 8 0 0 SEP
## 291 291 141 Journal Meeting Abstract 0 0 0 0 1 AUG 1
## 518 518 272 Journal Article 103 4 4 0 0 APR 20
## 586 586 311 Journal Article 32 2 2 2 19 APR
## PY VL IS PN SU SI MA BP EP AR
## 273 2015 42 15-16 6205 6214
## 291 2015 36 1 P167 9 9
## 518 2015 21 17 6535 6546
## 586 2015 26 4 369 375
## DI D2 PG UT an
## 273 10.1016/j.eswa.2015.03.011 10 355063700018 7
## 291 1 361205101026 10
## 518 10.1002/chem.201500155 12 352796100030 10
## 586 10.1002/pat.3462 7 351472700012 6