Here, we count only publications in 'classical' journals, i.e. no entries on preprint-servers such as biorxiv. Some publications refer to PDB-entries with beamlines incorrectly not assigned to EMBL.
Publications using data from P13 and/or P14: 585 -> ref_pub.html
Publications using data from P13: -> ref_pub_P13.html
Publications using data from P14: -> ref_pub_P14.html
Publications using data from T-REXX: -> ref_pub_t-rexx.html
IF > 9 Publications using data from P13 and/or P14: 184 -> ref_high_if.html
Highlight publications using data from P13 and/or P14: 33 -> ref_highlights.html
References (pdb or publication) to the beamlines: 705 -> ref_all.html
References (pdb or publication) to the beamlines without publication: 120 -> ref_npub.html
BioStruct-X funded publications using data from P13 and/or P14: 17 -> ref_bsx.html
PICTURES for pictures of structures.
Gallery for a gallery of structures.
Gallery-A for a gallery of structures with annotations.
Gallery-A-100 for a smaller gallery of structures with annotations.
Extracted from hand-curated list 'publ.html' In 'Total', publications referencing both P13 and P14 are counted 'twice'. Year P13 P14 Total Both Corr Accum(corr) 2012 0 2 2 0 2 2 2013 3 13 16 0 16 18 2014 22 12 34 0 34 52 2015 20 18 38 0 38 90 2016 19 13 32 0 32 122 2017 32 16 48 0 48 170 2018 21 29 50 0 50 220 2019 47 26 73 7 66 286 2020 63 42 105 10 95 381 2021 69 44 113 14 99 480 2022 46 41 87 9 78 558 2023 18 10 28 2 26 584
Based on entries present in pdbe as of 9-Jan-2023, running './ep3Stats-v04.py | grep Counter' in mxhof-directory). Entries with incorrect beamline assignments in pdbe are missing from the below statistics. Year P13 P14 Total Accum 2013 4 12 16 16 2014 29 13 42 58 2015 41 37 78 136 2016 45 47 92 228 2017 57 30 87 315 2018 58 61 119 434 2019 82 59 141 575 2020 121 83 204 779 2021 125 67 192 971 2022 108 90 198 1169 2023 30 14 44 1213 TOTAL 700 513 1213
Method: 1. search PDB for references to beamlines 2. search europepmc for 'beamline and petra and P13 AND (FIRST_PDATE:2021)' 3. Weed out duplicate PDBids and duplicate PUBMED-ids: %> ./ep3Stats-v04.py | grep uplicate 4. Compare DOIs from DESY-PUBDB against local DOIs via ./check-doi.csh | grep NOT