Summary of your 'study carrel' ============================== This is a summary of your Distant Reader 'study carrel'. The Distant Reader harvested & cached your content into a collection/corpus. It then applied sets of natural language processing and text mining against the collection. The results of this process was reduced to a database file -- a 'study carrel'. The study carrel can then be queried, thus bringing light specific characteristics for your collection. These characteristics can help you summarize the collection as well as enumerate things you might want to investigate more closely. This report is a terse narrative report, and when processing is complete you will be linked to a more complete narrative report. Eric Lease Morgan Number of items in the collection; 'How big is my corpus?' ---------------------------------------------------------- 51 Average length of all items measured in words; "More or less, how big is each item?" ------------------------------------------------------------------------------------ 9386 Average readability score of all items (0 = difficult; 100 = easy) ------------------------------------------------------------------ 49 Top 50 statistically significant keywords; "What is my collection about?" ------------------------------------------------------------------------- Top 50 lemmatized nouns; "What is discussed?" --------------------------------------------- 4150 patient 4128 % 4110 symptom 1948 study 1458 asthma 1133 result 1105 group 1083 disease 1043 treatment 982 case 978 year 955 level 929 test 848 day 838 infection 819 allergy 784 p 745 child 728 allergen 679 age 667 datum 663 health 654 method 642 risk 639 time 603 cell 595 reaction 595 analysis 591 effect 568 anxiety 553 factor 549 depression 542 diagnosis 539 response 533 month 531 fever 522 skin 518 control 516 conclusion 510 score 504 rhinitis 476 virus 473 food 450 exposure 439 influenza 430 nasal 425 history 417 prevalence 417 population 414 pollen Top 50 proper nouns; "What are the names of persons or places?" -------------------------------------------------------------- 669 COVID-19 654 al 531 IgE 529 et 494 . 314 mg 186 China 181 SARS 177 Health 139 PTSD 136 A 132 L 128 AR 119 HIV 115 SBS 111 GI 110 C 103 Fig 101 Table 97 M 87 SLIT 87 PCR 87 CoV-2 87 CI 85 FEV1 81 CD4 80 ± 80 ELISA 79 Patient 79 IgG 79 HAE 77 PTG 77 CT 75 mL 75 Hospital 74 | 74 University 71 SPT 70 Italy 70 ICS 70 B 69 S. 69 S 69 Ara 68 United 67 h 66 Iota 66 Carrageenan 65 AIT 64 Wuhan Top 50 personal pronouns nouns; "To whom are things referred?" ------------------------------------------------------------- 1513 we 972 it 413 they 320 he 315 she 254 i 167 them 108 you 41 one 39 us 28 me 26 themselves 25 itself 12 him 6 her 4 myself 3 yourself 3 mg 3 its 3 himself 2 ours 2 oneself 2 ocid1001 2 igg4 1 tssc 1 s 1 ourselves 1 mine 1 ielisas 1 herewith 1 h,-receptors 1 fluorocytometry(becton 1 's Top 50 lemmatized verbs; "What do things do?" --------------------------------------------- 16544 be 3356 have 1283 use 940 report 840 include 773 show 653 associate 612 increase 571 do 510 find 510 compare 459 follow 454 present 427 base 422 relate 404 perform 373 develop 357 cause 354 treat 354 assess 324 indicate 309 identify 306 consider 303 evaluate 292 reduce 291 give 288 occur 281 observe 280 receive 280 provide 267 reveal 263 diagnose 262 suggest 262 determine 253 experience 252 induce 246 confirm 242 take 236 measure 236 improve 235 test 227 decrease 222 see 222 make 216 demonstrate 214 know 211 describe 210 affect 209 result 200 require Top 50 lemmatized adjectives and adverbs; "How are things described?" --------------------------------------------------------------------- 1342 not 1098 high 929 - 891 allergic 890 more 764 also 758 other 727 clinical 672 respiratory 661 positive 633 most 615 specific 595 low 581 such 567 severe 554 only 519 significant 505 common 485 first 475 well 452 negative 434 old 414 psychological 409 however 401 medical 365 chronic 340 total 337 significantly 331 non 329 covid-19 322 different 309 mental 307 depressive 305 normal 305 as 302 acute 291 oral 291 early 277 physical 268 mild 259 respectively 250 viral 243 less 243 great 234 primary 234 likely 232 new 231 further 229 prior 228 daily Top 50 lemmatized superlative adjectives; "How are things described to the extreme?" ------------------------------------------------------------------------- 134 most 107 least 61 good 58 Most 57 high 25 low 18 great 17 large 8 bad 5 strong 5 late 5 common 4 short 3 near 3 big 2 n=1263 2 long 2 close 1 ≤33.3 1 ≤22.2 1 young 1 we.*t 1 southernmost 1 simple 1 poor 1 northernmost 1 nonsevere 1 narrow 1 last 1 hexose 1 few 1 eld 1 easy 1 early 1 deadly 1 Least 1 -very Top 50 lemmatized superlative adverbs; "How do things do to the extreme?" ------------------------------------------------------------------------ 499 most 90 least 10 well 4 hard 2 long Top 50 Internet domains; "What Webbed places are alluded to in this corpus?" ---------------------------------------------------------------------------- 17 doi.org 3 www.cdc.gov 2 www.frontiersin.org 2 jamanet 1 www.wjx.cn 1 www.wisopanel.net 1 www.who.int 1 www.nejm.org 1 www.mayoclinic.org 1 www.journalofinfection 1 www.direct.gov.uk 1 www.camb 1 sarkerlab 1 respiratory-research.com 1 onlinelibrary.wiley.com 1 jamanetwork.com 1 healthdatagateway.org 1 github.com 1 creativecommons 1 charls.pku.edu.cn 1 asmanet.com Top 50 URLs; "What is hyperlinked from this corpus?" ---------------------------------------------------- 6 http://doi.org/10.1101/2020.11.04.20225706 5 http://doi.org/10.1101/2020.05.03.20082818 3 http://doi.org/10 2 http://jamanet 2 http://doi.org/10.1101/2020.04.25.20079905 1 http://www.wjx.cn/ 1 http://www.wisopanel.net 1 http://www.who.int/publicationsdetail/report-of-the-who-china-joint-mission-on-coronavirusdisease-2019-(covid-19 1 http://www.nejm.org/doi/full/10.1056/ 1 http://www.mayoclinic.org/ 1 http://www.journalofinfection 1 http://www.frontiersin.org/articles/10.3389/fpubh 1 http://www.frontiersin.org/articles/10.3389/fpsyg.2020 1 http://www.direct.gov.uk/ 1 http://www.cdc.gov/flu/weekly/ 1 http://www.cdc.gov/flu/professionals/diagnosis/clinician_guidance_ridt.htm 1 http://www.cdc.gov/flu/ 1 http://www.camb 1 http://sarkerlab 1 http://respiratory-research.com/content/11/1/108 1 http://onlinelibrary.wiley.com/ 1 http://jamanetwork.com/journals/jamainter 1 http://healthdatagateway.org 1 http://github.com/ 1 http://doi.org/10.1101 1 http://creativecommons 1 http://charls.pku.edu.cn/index/en.html 1 http://asmanet.com Top 50 email addresses; "Who are you gonna call?" ------------------------------------------------- 1 webmaster@eubs.org 1 pacifiquesalomon@yahoo.fr 1 156892477@qq.com Top 50 positive assertions; "What sentences are in the shape of noun-verb-noun?" ------------------------------------------------------------------------------- 15 symptoms were more 15 tests were positive 9 symptoms did not 7 % had moderate 7 patients were also 7 test was positive 7 tests were negative 6 levels were normal 6 patients did not 6 symptoms were not 5 patient did not 5 patients were significantly 5 symptoms were clinically 5 symptoms were significantly 4 patient reported outcomes 4 patients had allergic 4 patients had higher 4 patients were able 4 patients were not 4 study did not 4 symptoms are common 4 symptoms was not 3 % did not 3 % had mild 3 % had severe 3 % reported mild 3 % reported partial 3 % were female 3 age was higher 3 asthma is not 3 covid-19 were stable 3 group was significantly 3 groups were comparable 3 infection is usually 3 patient had negative 3 patients had mild 3 patients were positive 3 patients were retrospectively 3 result was positive 3 results did not 3 studies did not 3 study does not 3 study has several 3 symptoms are not 3 symptoms had better 3 symptoms was especially 3 test was negative 3 treatment is not 2 % had clinical 2 % had dysgeusia Top 50 negative assertions; "What sentences are in the shape of noun-verb-no|not-noun?" --------------------------------------------------------------------------------------- 2 patients had no previous 2 result was not statistically 2 results are not readily 2 treatment is not always 1 % did not worse 1 % had no asthma 1 % had no symptoms 1 % had no treatment 1 % having no improvement 1 % show no change 1 allergens showed no statistically 1 analysis showed no correlation 1 asthma is not well 1 cases had no treatment 1 cases were no longer 1 child has no respiratory 1 child reports no benefit 1 children had no asthma 1 children had no sensitization 1 disease do not accurately 1 disease has no long 1 groups were not statistically 1 levels showed no differences 1 method is no guarantee 1 patient had no further 1 patient had no other 1 patient had no significant 1 patient had no symptoms 1 patient has no symptoms 1 patient was not previously 1 patients are not symptomatic 1 patients had no exacerbation 1 patients had no sensitization 1 patients had no significant 1 patients had no symptomatic 1 patients had no symptoms 1 patients have no symptoms 1 patients received no therapy 1 patients were not chronic 1 reactions is not currently 1 result does not necessarily 1 results were not statistically 1 studies are not overly 1 studies showed no other 1 study found no substantial 1 study had no suspicion 1 study provides no evidence 1 study received no funding 1 study was not significantly 1 symptom has no different A rudimentary bibliography --------------------------