1 Ocak 2016 Dergi makalesi Açık Erişim

Acharya, Chayan; Hookers, Andrew C.; Turkyilmaz, Gulbeyaz Yildiz; Jonsson, Siu; Karlsson, Mats O.

JSON

{
  "conceptrecid": "54200", 
  "created": "2021-03-15T23:33:41.427951+00:00", 
  "doi": "10.1016/j.cmpb.2016.01.013", 
  "files": [
    {
      "bucket": "ab9db040-0a35-4910-a039-36bbb1d8048c", 
      "checksum": "md5:a3e86df7b97bdca7ae2172a867af3019", 
      "key": "bib-da7417a5-fb82-4454-9402-d7c1d2f11ebe.txt", 
      "links": {
        "self": "https://aperta.ulakbim.gov.tr/api/files/ab9db040-0a35-4910-a039-36bbb1d8048c/bib-da7417a5-fb82-4454-9402-d7c1d2f11ebe.txt"
      }, 
      "size": 240, 
      "type": "txt"
    }
  ], 
  "id": 54201, 
  "links": {
    "badge": "https://aperta.ulakbim.gov.tr/badge/doi/10.1016/j.cmpb.2016.01.013.svg", 
    "bucket": "https://aperta.ulakbim.gov.tr/api/files/ab9db040-0a35-4910-a039-36bbb1d8048c", 
    "doi": "https://doi.org/10.1016/j.cmpb.2016.01.013", 
    "html": "https://aperta.ulakbim.gov.tr/record/54201", 
    "latest": "https://aperta.ulakbim.gov.tr/api/records/54201", 
    "latest_html": "https://aperta.ulakbim.gov.tr/record/54201"
  }, 
  "metadata": {
    "access_right": "open", 
    "access_right_category": "success", 
    "communities": [
      {
        "id": "tubitak-destekli-proje-yayinlari"
      }
    ], 
    "creators": [
      {
        "affiliation": "Uppsala Univ, Dept Pharmaceut Biosci, POB 591, SE-75124 Uppsala, Sweden", 
        "name": "Acharya, Chayan"
      }, 
      {
        "affiliation": "Uppsala Univ, Dept Pharmaceut Biosci, POB 591, SE-75124 Uppsala, Sweden", 
        "name": "Hookers, Andrew C."
      }, 
      {
        "name": "Turkyilmaz, Gulbeyaz Yildiz"
      }, 
      {
        "affiliation": "Uppsala Univ, Dept Pharmaceut Biosci, POB 591, SE-75124 Uppsala, Sweden", 
        "name": "Jonsson, Siu"
      }, 
      {
        "affiliation": "Uppsala Univ, Dept Pharmaceut Biosci, POB 591, SE-75124 Uppsala, Sweden", 
        "name": "Karlsson, Mats O."
      }
    ], 
    "description": "Background and objective: Non-compartmental analysis (NCA) calculates pharmacokinetic (PK) metrics related to the systemic exposure to a drug following administration, e.g. area under the concentration time curve and peak concentration. We developed a new package in R, called ncappc, to perform (i) a NCA and (ii) simulation-based posterior predictive checks (ppc) for a population PK (PopPK) model using NCA metrics.", 
    "doi": "10.1016/j.cmpb.2016.01.013", 
    "has_grant": false, 
    "journal": {
      "pages": "83-93", 
      "title": "COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE", 
      "volume": "127"
    }, 
    "license": {
      "id": "cc-by"
    }, 
    "publication_date": "2016-01-01", 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "54201"
          }, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "54200"
          }
        }
      ]
    }, 
    "resource_type": {
      "subtype": "article", 
      "title": "Dergi makalesi", 
      "type": "publication"
    }, 
    "title": "A diagnostic tool for population models using non-compartmental analysis: The ncappc package for R"
  }, 
  "owners": [
    1
  ], 
  "revision": 1, 
  "stats": {
    "downloads": 13.0, 
    "unique_downloads": 13.0, 
    "unique_views": 62.0, 
    "version_downloads": 13.0, 
    "version_unique_downloads": 13.0, 
    "version_unique_views": 54.0, 
    "version_views": 61.0, 
    "version_volume": 3120.0, 
    "views": 70.0, 
    "volume": 3120.0
  }, 
  "updated": "2021-03-15T23:33:41.469504+00:00"
}