Distant Reader - journal-mayoClinProc-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:"Mayo Clin Proc". 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 39 item(s) in this carrel, and this carrel is 53,230 words long. Each item in your study carrel is, on average, 1,565 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 49. 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:

covid, patients, sars, health, care, disease, clinical, respiratory, cov, coronavirus, may, use, treatment, pandemic, time, risk, severe, acute, infection, plasma, study, data, convalescent, mayo, also, will, patient, mortality, new, based, syndrome, high, cases, cord, virus, outcomes, studies, evidence, medical, transmission, however, associated, review, us, infected, days, using, drug, tb, spread

Using the three most frequent words, the three files containing all of those words the most are The Prognostic Value of Electrocardiogram at Presentation to Emergency Department in Patients With COVID-19, Safety Update: COVID-19 Convalescent Plasma in 20,000 Hospitalized Patients, and Substance Use Disorders and Telehealth in the COVID-19 Pandemic Era: A New Outlook.

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

health care, convalescent plasma, acute respiratory, respiratory syndrome, severe acute, mayo clinic, coronavirus disease, clin proc, mayo clin, doc id, cord uid, proc doi, novel coronavirus, public health, united states, contact tracing, care workers, mechanical ventilation, new york, hospitalized patients, severe covid, social distancing, primary care, world health, health organization, ill patients, syndrome coronavirus, converting enzyme, systematic review, infectious diseases, respiratory failure, risk factors, vital signs, myocardial injury, intensive care, critically ill, clinical course, hong kong, emergency department, disease control, care providers, plasma transfusion, randomized controlled, substance use, york city, distress syndrome, clinical guidance, mortality rate, respiratory distress, segment elevation

And the three file that use all of the three most frequent phrases are Recruitment Strategy for Potential COVID-19 Convalescent Plasma Donors Safety Update: COVID-19 Convalescent Plasma in 20,000 Hospitalized Patients, and Innovation Lessons From the COVID-19 Pandemic.

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:

covid-19, sars, severe, plasma, patient, treatment, trainee, tmprss2, sud, ste, perniosis, nippv, myocardial, mdr, mask, kong, inflammatory, hong, g6pd, famotidine, evidence, ehr, ecg, drug, contact, community, clinic, china, care, bhatt, applicant, angiotensin, alcohol, acute, ace2, aact

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 covid, and Dealing With Threat of Drug-Resistant Tuberculosis: Background Information for Interpreting the Andrew Speaker and Related Cases 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:

health, care, covid - SARS Revisited: The Challenge of Controlling Emerging Infectious Diseases at the Local, Regional, Federal, and Global Levels
covid, patients, plasma - Safety Update: COVID-19 Convalescent Plasma in 20,000 Hospitalized Patients
covid, patients, disease - The Prognostic Value of Electrocardiogram at Presentation to Emergency Department in Patients With COVID-19
tb, covid, health - Dealing With Threat of Drug-Resistant Tuberculosis: Background Information for Interpreting the Andrew Speaker and Related Cases
covid, expression, sars - Intentionality in Medical School Admissions in the COVID-19 Era

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?":

patients, care, health, disease, treatment, pandemic, time, risk, infection, use, plasma, data, study, coronavirus, mortality, syndrome, evidence, studies, cases, patient, virus, days, transmission, individuals, outcomes, case, ventilation, rate, drug, review, response, date, authors, system, results, contact, rates, population, exposure, analysis, transfusion, expression, covid-19, community, testing, symptoms, person, therapy, severity, journal

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, including, based, provide, reported, increase, associated, needed, show, requires, reducing, developing, made, hospitalized, follow, identified, considered, occurred, continues, suggest, improved, controlled, infected, causing, remains, related, compared, limit, become, treat, support, known, given, created, test, confirmed, assess, found, emerge, exposed, resulting, receive, leads, isolated, spread, took, implementing, allows, indicate, published

Proper Nouns

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

COVID-19, SARS, CoV-2, Mayo, TB, China, Health, Clinic, •, Coronavirus, US, Disease, ACE2, NIPPV, CoV, Clin, J, AACT, United, ECG, States, TMPRSS2, Proc, nan, Wuhan, sha, New, York, SUD, April, G6PD, World, STE, Patients, Organization, Use, ST, Prevention, J., Care, CDC, Clinical, Angiotensin, ARDS, Review, R., Treatment, Control, PCR, Outcomes

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?"

we, our, it, their, they, its, us, them, he, i, his, she, her, themselves, one, your, you, ourselves, my, itself, him

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?"

respiratory, clinical, acute, severe, covid-19, convalescent, high, medical, many, new, available, viral, primary, potential, key, human, effective, virtual, several, public, infectious, early, important, initial, higher, social, rapid, positive, current, critical, novel, low, first, vital, mechanical, large, cardiac, similar, significant, patient, non, infected, real, global, common, recent, inflammatory, invasive, essential, possible

also, however, well, even, rapidly, potentially, especially, currently, now, previously, highly, critically, quickly, therefore, rather, nearly, first, significantly, recently, particularly, often, less, far, yet, still, likely, worldwide, approximately, probably, instead, initially, importantly, typically, just, immediately, furthermore, extensively, directly, better, overall, later, greatly, finally, early, commonly, always, usually, together, respectively, forward

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.

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