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| #' Plots TIB/SUB Fortbildung Open APC Initiative | |
| #' Required libraries | |
| library(dplyr) | |
| library(ggplot2) | |
| library(scales) | |
| #' ## Load datasets from GitHub | |
| #' Get cost data from the Open APC initiatve | |
| apc <- readr::read_csv("https://raw.githubusercontent.com/OpenAPC/openapc-de/f946f5c55e5335c3f2298be88507af94de45d585/data/apc_de.csv", col_names = TRUE) | |
| #' Overview | |
| apc |
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| { | |
| "response": { | |
| "browseResults": null, | |
| "header": { | |
| "locale": { | |
| "$": "en_GB" | |
| }, | |
| "page": { | |
| "$": 1 | |
| }, |
We can make this file beautiful and searchable if this error is corrected: It looks like row 2 should actually have 38 columns, instead of 9 in line 1.
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| Date of initial application by author,Submitted by,University department,PubMed Central (PMC) ID,PubMed ID,DOI,Affiliated author,Publisher,Journal,ISSN,Type of publication,Article title,Date of publication,Fund that APC is paid from (1),Fund that APC is paid from (2),Fund that APC is paid from (3),Funder of research (1),Funder of research (2),Funder of research (3),Grant ID (1),Grant ID (2),Grant ID (3),Date of APC payment,APC paid (actual currency) including VAT if charged,APC paid (actual currency) excluding VAT,VAT (actual currency),Currency of APC,APC paid (£) including VAT if charged,APC paid (£) excluding VAT,VAT (£),Additional publication costs (£),"Discounts, memberships & pre-payment agreements",Amount of APC charged to COAF grant (include VAT if charged) in £,Amount of APC charged to RCUK OA fund (include VAT if charged) in £,Licence,Correct license applied,Problem-free open access publication,Notes | |
| 01/01/2015,,CRUK Cambridge Institute,,,10.1530/ERC-14-0454 ,,Society for Endocrinology,Endocrine-Rela |
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| Full Journal Title,JournalTitle | |
| CA-A CANCER JOURNAL FOR CLINICIANS,CA A Cancer Journal for Clinicians | |
| NEW ENGLAND JOURNAL OF MEDICINE,New England Journal of Medicine | |
| NATURE REVIEWS DRUG DISCOVERY,Nature Reviews Drug Discovery | |
| LANCET,The Lancet | |
| NATURE BIOTECHNOLOGY,Nature Biotechnology | |
| NATURE MATERIALS,Nature Materials | |
| NATURE REVIEWS MOLECULAR CELL BIOLOGY,Nature Reviews Molecular Cell Biology | |
| NATURE,Nature | |
| ANNUAL REVIEW OF ASTRONOMY AND ASTROPHYSICS,Annual Review of Astronomy and Astrophysics |
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| .Rproj.user | |
| .Rhistory | |
| .RData | |
| .Ruserdata |
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| #' ## What's registered in PUB? | |
| #' | |
| #' ### Fetch the data | |
| #' | |
| orgs <- rio::import("pevz_org.csv") %>% | |
| mutate(year = list(2009:2016)) %>% | |
| tidyr::unnest(year) | |
| u <- "https://pub.uni-bielefeld.de/publication?limit=1000&q=" | |
| tt <- purrr::map2(.x = orgs$id, .y= orgs$year, .f = function(x, y) { | |
| my_url <- URLencode(paste0(u, "department=", x, " AND year=", y, "&fmt=json")) |
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| # url heraussuchen | |
| u <- "http://www.shanghairanking.com/de/ARWU2015.html" | |
| # scrapen mit rvest | |
| library(rvest) | |
| library(dplyr) | |
| library(rio) | |
| read_html(u) %>% | |
| html_table(fill = TRUE) %>% | |
| rio::export("~/Downloads/arwu_2015.xlsx") | |
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| Aarts, A. A. ..., Cordes, A. …, Lippold, M.A., … Nosek, B. A. (2015). Estimating the reproducibility of psychological science. Science, 349, aac4716. http://doi.org/10.1126/science.aac4716 1, 2, 3, 4, 6, 7 | |
| Albrecht, T., & Mattler, U. (2012). Individual differences in subjective experience and objective performance in metacontrast masking. Journal of Vision, 12:5, 1-24. http://doi.org/10.1167/12.5.5 5 | |
| Aribisala, B. S., Royle, N. A., Muñoz Maniega, S., Valdés Hernández, M. C., Murray, C., Penke, L., ... Wardlaw, J. M. (2014). Quantitative multi-modal MRI of the hippocampus and cognitive ability in community-dwelling older subjects. Cortex, 53, 34-44. 5 | |
| Arslan, R. C., & Penke, L. (2015). Zeroing in on the genetics of intelligence. Journal of Intelligence, 3, 41-45. http://doi.org/10.3390/jintelligence3020041. 5 | |
| Arslan, R. C., Penke, L., Johnson, W., Iacono, W. G., & McGue, M. (2014). The effect of paternal age on offspring intelligence and personality when controlling for paternal trait level. PLoS One, 9, e9009 |
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| #' get DOIs per ISSN | |
| library(tidyverse) | |
| wellcome_df <- rcrossref::cr_works(filter = c(issn = "2398-502X"), limit = 1000) %>% | |
| .$data | |
| #' prepare unnest | |
| names(wellcome_df$link) <- wellcome_df$DOI | |
| #' unnest, remove unneded string, and export data | |
| wellcome_dois <- dplyr::bind_rows(wellcome_df$link, .id = "doi") %>% | |
| mutate(URL = gsub("/iparadigms", "", URL)) %>% | |
| select(1:2) |
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| library(jsonlite) | |
| library(tidyverse) | |
| library(ggalt) | |
| #' get data from the open apc initiative | |
| u <- | |
| "https://raw.githubusercontent.com/OpenAPC/openapc-de/ec458eaf0232eb193bb5f8e3b8481491e39a60ef/data/apc_de.csv" | |
| o_apc <- readr::read_csv(u) %>% | |
| filter(is_hybrid == TRUE) | |
| #' Some summary statistics: | |
| #' |