Distant Reader - journal-virusRes-cord

Introduction

This is a Distant Reader "study carrel", a set of structured data intended to help the student, researcher, or scholar use & understand a corpus.

This study carrel was created on 2021-05-30 by Eric Morgan <emorgan@nd.edu>. The carrel was created using the Distant Reader cord process, and the input was the result of a query applied to a local mirror of CORD, a data set of scholarly articles on the topic of COVID-19. The actual query was: facet_journal:"Virus Res". The results of this query were saved in a cache and transformed into a set of plain text files. All of the analysis -- "reading" -- has been done against these plain text files. For example, a short narrative report has been created. This Web page is a more verbose version of that report.

All study carrels are self-contained -- no Internet connection is necessary to use them. Download this carrel for offline reading. The carrel is made up of many subdirectories and data files. The manifest describes each one in greater detail.

Size

There are 101 item(s) in this carrel, and this carrel is 446,717 words long. Each item in your study carrel is, on average, 5,382 words long. If you dig deeper, then you might want to save yourself some time by reading a shorter item. On the other hand, if your desire is for more detail, then you might consider reading a longer item. The following charts illustrate the overall size of the carrel.

Readability

On a scale from 0 to 100, where 0 is very difficult and 100 is very easy, the documents have an average readability score of 51. Consequently, if you want to read something more simplistic, then consider a document with a higher score. If you want something more specialized, then consider something with a lower score. The following charts illustrate the overall readability of the carrel.

Word Frequencies

By merely counting & tabulating the frequency of individual words or phrases, you can begin to get an understanding of the carrel's "aboutness". Excluding "stop words", some of the more frequent words include:

virus, cells, protein, rna, viral, infection, cell, coronavirus, viruses, proteins, gene, using, infected, replication, also, sars, cov, human, genome, sequence, nsp, expression, porcine, two, i, respiratory, study, analysis, strain, used, strains, may, ibv, pedv, infectious, like, type, sequences, activity, host, shown, recombinant, specific, acid, disease, prrsv, pcr, results, different, studies

Using the three most frequent words, the three files containing all of those words the most are RNA structure analysis of alphacoronavirus terminal genome regions, Rhabdovirus accessory genes, and Beyond HIV infection: neglected and varied impacts of CCR5 and CCR5Δ32 on viral diseases.

The most frequent two-word phrases (bigrams) include:

respiratory syndrome, infectious bronchitis, infected cells, amino acid, bronchitis virus, viral rna, rna viruses, porcine epidemic, acute respiratory, epidemic diarrhea, virus infection, severe acute, diarrhea virus, porcine reproductive, syndrome virus, virus replication, nucleocapsid protein, codon usage, vero cells, cell culture, viral replication, spike protein, syndrome coronavirus, rna synthesis, immune response, amino acids, cleavage sites, type i, rna virus, virus type, ck ch, human coronavirus, antiviral activity, immunodeficiency virus, human immunodeficiency, structural proteins, neutralizing antibodies, immune responses, host cell, gene expression, like protease, reverse transcription, cell cycle, rna polymerase, virus res, res doi, doc id, cord uid, cleavage site, dengue virus

And the three file that use all of the three most frequent phrases are Effects of hypervariable regions in spike protein on pathogenicity, tropism, and serotypes of infectious bronchitis virus Identification of Taiwan and China-like recombinant avian infectious bronchitis viruses in Taiwan, and Characterization of the complete genome, antigenicity, pathogenicity, tissue tropism, and shedding of a recombinant avian infectious bronchitis virus with a ck/CH/LJL/140901-like backbone and an S2 fragment from a 4/91-like virus.

While often deemed superficial or sophomoric, rudimentary frequencies and their associated "word clouds" can be quite insightful:

Keywords

Sets of keywords -- statistically significant words -- can be enumerated by comparing the relative frequency of words with the number of times the words appear in an entire corpus. Some of the most statistically significant keywords in the carrel include:

rna, sars, virus, ibv, pedv, cell, prrsv, protein, pcr, dna, vero, covid-19, utr, mers, hiv-1, china, wnv, tgev, strain, pid, orf, nl63, mhv, jung, infection, ifn, hiv, hbv, fipv, elisa, codon, antiviral, ace2, zika, wen, vvi, vr-2332, vp3, vlp, viral, usage, type, tnf-, tm2, thp-1, tgf, tat, taiwan, table, stress

And now word clouds really begin to shine:

Topic Modeling

Topic modeling is another popular approach to connoting the aboutness of a corpus. If the study carrel could be summed up in a single word, then that word might be virus, and Signal hotspot mutations in SARS-CoV-2 genomes evolve as the virus spreads and actively replicates in different parts of the world is most about that word.

If the study carrel could be summed up in three words ("topics") then those words and their significantly associated titles include:

If the study carrel could be summed up in five topics, and each topic were each denoted with three words, then those topics and their most significantly associated files would be:

virus, viruses, cells - Rhabdovirus accessory genes
cells, virus, porcine - Porcine epidemic diarrhea virus (PEDV): An update on etiology, transmission, pathogenesis, and prevention and control
virus, protein, ibv - Complete genomic sequence of turkey coronavirus
virus, cells, viral - Anti-Inflammatory Drugs and the Renin-Angiotensin-Aldosterone System: Current Knowledge and Potential Effects on Early SARS-CoV-2 Infection
virus, rna, infection - Beyond HIV infection: neglected and varied impacts of CCR5 and CCR5Δ32 on viral diseases

Moreover, the totality of the study carrel's aboutness, can be visualized with the following pie chart:

Noun & Verbs

Through an analysis of your study carrel's parts-of-speech, you are able to answer question beyonds aboutness. For example, a list of the most frequent nouns helps you answer what questions; "What is discussed in this collection?":

virus, cells, protein, infection, cell, coronavirus, viruses, proteins, replication, gene, genome, sequence, expression, analysis, strains, study, sequences, type, activity, strain, acid, host, region, cleavage, results, studies, disease, genes, antibodies, coronaviruses, syndrome, data, pigs, antibody, sites, control, dna, vaccine, structure, domain, receptor, site, role, diarrhea, group, samples, patients, response, recombination, system

An enumeration of the verbs helps you learn what actions take place in a text or what the things in the text do. Very frequently, the most common lemmatized verbs are "be", "have", and "do"; the more interesting verbs usually occur further down the list of frequencies:

used, shown, infected, induced, containing, binding, expressed, include, suggested, found, identify, based, isolated, detected, indicating, described, associated, increased, observed, determined, inhibit, encodes, reported, compare, perform, followed, required, mediated, cause, involving, neutralize, resulting, revealed, provide, treated, incubated, confirmed, analyzed, generate, demonstrated, reduced, occurs, obtain, inoculated, produce, known, conserved, related, predicted, remaining

Proper Nouns

An extraction of proper nouns helps you determine the names of people and places in your study carrel.

RNA, Fig, SARS, IBV, PEDV, PCR, CoV, C, PRRSV, S, N, M, China, CoV-2, RT, CCR5, HIV-1, TGEV, PBS, aa, Vero, II, HCoV, HIV, Table, S1, B, T, ORF, UTR, COVID-19, CH, MERS, A, USA, mRNA, HCV, ACE2, G, siRNA, Coronavirus, ELISA, NL63, Li, Chen, TCoV, RNA3, CCR5Δ32, NLRX1, HCoV-229E

An analysis of personal pronouns enables you to answer at least two questions: 1) "What, if any, is the overall gender of my study carrel?", and 2) "To what degree are the texts in my study carrel self-centered versus inclusive?"

it, we, their, its, our, they, i, them, his, he, us, itself, you, themselves, one, your, nsp10, mrnas, iga+, she, her, nsp15, ccr5Δ32, thee, psliencer-2.1-u, psip409-pgsa, ourselves, nsp7-nsp8, nsp7, nsp4, nsp1, my, ms2vlps, microrna-130a, me, l2-vlps, jx220982, http://dx.doi.org/10.1016/j.virusres.2017.05.003, hav-2, egfp, cpms

Below are words cloud of your study carrel's proper & personal pronouns.

Adjectives & Verbs

Learning about a corpus's adjectives and adverbs helps you answer how questions: "How are things described and how are things done?" An analysis of adjectives and adverbs also points to a corpus's overall sentiment. "In general, is my study carrel positive or negative?"

viral, human, porcine, respiratory, infectious, specific, recombinant, different, like, non, antiviral, severe, infected, immune, genetic, positive, structural, cellular, new, clinical, high, anti, similar, molecular, acute, novel, small, genomic, dependent, several, nucleotide, important, avian, significant, complete, first, potential, single, full, present, large, functional, reproductive, major, many, multiple, negative, higher, feline, canine

also, however, respectively, previously, well, therefore, highly, nt, significantly, recently, even, together, moreover, still, first, interestingly, approximately, directly, subsequently, furthermore, currently, closely, relatively, rather, mainly, specifically, upstream, less, finally, similarly, especially, nevertheless, strongly, likely, newly, successfully, worldwide, possibly, orally, now, later, often, encephalitis, downstream, potentially, indeed, efficiently, briefly, alone, naturally

Next steps

There is much more to a study carrel than the things outlined above. Use this page's menubar to navigate and explore in more detail. There you will find additional features & functions including: ngrams, parts-of-speech, grammars, named entities, topic modeling, a simple search interface, etc.

Again, study carrels are self-contained. Download this carrel for offline viewing and use.

Thank you for using the Distant Reader.