Distant Reader - journal-actaPharmacolSin-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:"Acta Pharmacol Sin". 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 50 item(s) in this carrel, and this carrel is 251,303 words long. Each item in your study carrel is, on average, 5,235 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 46. 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:

cells, cell, induced, protein, treatment, expression, mice, group, effects, effect, also, signaling, cancer, study, i, activation, analysis, using, results, disease, apoptosis, pathway, levels, used, activity, receptor, patients, increased, tumor, treated, shown, data, significantly, control, sars, cov, il, mitochondrial, human, studies, model, gene, role, via, mediated, may, showed, inhibition, ca, anti

Using the three most frequent words, the three files containing all of those words the most are TRAIL-based gene delivery and therapeutic strategies, Reversal of the immunosuppressive tumor microenvironment by nanoparticle-based activation of immune-associated cells, and β-sitosterol ameliorates influenza A virus-induced proinflammatory response and acute lung injury in mice by disrupting the cross-talk between RIG-I and IFN/STAT signaling.

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

signaling pathway, timo aiii, cancer cells, mg kg, control group, cell death, western blot, results showed, nlrp inflammasome, induced apoptosis, gene expression, signaling pathways, competing interests, smooth muscle, cell proliferation, previous studies, endothelial cells, present study, blood pressure, blot analysis, oxidative stress, protein expression, western blotting, inhibitory effect, myocardial infarction, cancer immunotherapy, ics ii, room temperature, protein levels, protein kinase, clinical trials, dependent manner, cell viability, lung cancer, mouse model, cd toxicity, significantly increased, tumor cells, gut microbiota, acta pharmacol, doc id, sin doi, cord uid, pharmacol sin, protective effect, growth factor, previously described, dicer cko, expression levels, nitric oxide

And the three file that use all of the three most frequent phrases are Antiangiogenesis effect of timosaponin AIII on HUVECs in vitro and zebrafish embryos in vivo A comparative pharmacogenomic analysis of three classic TCM prescriptions for coronary heart disease based on molecular network modeling, and Nintedanib inhibits keloid fibroblast functions by blocking the phosphorylation of multiple kinases and enhancing receptor internalization.

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:

cell, sars, rna, covid-19, cancer, ampk, usa, tgf, patient, nlrp3, lps, imb, ace2, xfzy, wnt, vegf, usp5, txnip, tumor, trail, tmem16a, tlr4, timo, therapy, syn, study, sgk1, sbp, s780, rl2, ritanserin, rig, rbd, ras, ptpl1, protein, pei, parkinson, o2-x, nt5e, nrf2, nnav, nmt2, nmt1, nmt, nle, myristoylation, mmp9, mmp2, mitochondrial

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 cells, and Gene expression profiles of human liver cells mediated by hepatitis B virus X protein 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:

cells, cell, cancer - TRAIL-based gene delivery and therapeutic strategies
cells, induced, cell - β-sitosterol ameliorates influenza A virus-induced proinflammatory response and acute lung injury in mice by disrupting the cross-talk between RIG-I and IFN/STAT signaling
cells, expression, cell - Zinc protects against cadmium-induced toxicity in neonatal murine engineered cardiac tissues via metallothionein-dependent and independent mechanisms
mice, cells, treatment - Potential application of endocannabinoid system agents in neuropsychiatric and neurodegenerative diseases—focusing on FAAH/MAGL inhibitors
sars, cov, protein - N-myristoylation: from cell biology to translational medicine

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?":

cells, cell, protein, treatment, expression, mice, group, effects, effect, cancer, study, activation, analysis, results, apoptosis, disease, activity, pathway, levels, patients, receptor, tumor, data, studies, gene, role, model, α, control, β, inhibition, injury, drug, addition, proteins, syn, autophagy, min, response, function, virus, membrane, inhibitors, inhibitor, system, assay, receptors, mechanism, concentration, tissue

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:

induced, used, showed, inhibited, increase, signaling, treat, mediated, indicated, including, found, bound, reducing, suggesting, targeting, performed, decreased, regulating, based, activating, follows, related, associated, caused, compared, determined, reported, involved, demonstrate, measured, promoted, observed, expressed, blocked, suppressed, enhancing, play, containing, described, leading, provide, incubated, identified, detected, attenuates, analyze, protects, revealed, stained, affects

Proper Nouns

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

Fig, SARS, USA, IMB, CoV-2, PD, RNA, China, TRAIL, IFN, ±, II, κB, α, S, IAV, ET-1, mg, AIII, Maf, β, K, IL-6, Timo, CMR, Zn, COVID-19, LPS, HDC, SGK1, H9c2, NLE, sitosterol, STAT5a, Cd, S7, PCR, AMPK, ET, L, AVP, kg, Dox, Ca, Parkinson, A2, mebendazole, TNF, CoV, NF

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, it, its, our, their, i, they, them, us, he, you, themselves, itself, imagej, mg, herg, your, trf, rhace2, phlips, nlrp3-inflammasome, mrnas, itgb7-that, il-1β, his, endothelin-1, egfp, cord-012768, bace1, 5,5',6,6'tetrachloro-1,1',3,3

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?"

human, mitochondrial, anti, clinical, inflammatory, dependent, therapeutic, cardiac, high, viral, significant, potential, specific, different, novel, myocardial, endothelial, western, immune, important, previous, new, acute, cardiovascular, vascular, molecular, various, like, multiple, low, protective, similar, mean, nuclear, key, small, several, primary, inhibitory, normal, independent, antiviral, many, early, cellular, oxidative, present, positive, chronic, total

also, significantly, however, therefore, well, previously, moreover, furthermore, respectively, subsequently, mainly, recently, widely, highly, briefly, overnight, directly, alone, together, still, markedly, clinically, currently, notably, first, especially, thereby, randomly, next, effectively, partially, finally, statistically, specifically, interestingly, least, rapidly, prior, completely, additionally, even, twice, meanwhile, dependently, daily, later, consequently, approximately, relatively, importantly

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.