What were the most popular papers of 2019?

Mendeley 2019 Papers Image“Best of the year” lists always catch our eye. They’re a great way to check if we missed any important movies, books or news. They also show us what our peers focused on and suggest trends for the coming year.

In that spirit, we’ve compiled this list of the most popular papers of 2019. These open access articles were trending in the Mendeley Catalog in 2019, meaning that they had the largest growth in readership over the course of the year.

There’s one paper across eight major disciplines of science: computer science; education; physics and astronomy; environmental science; medicine; neuroscience; chemistry; and material science. It’s fascinating to see the range of topics of interest across these disciplines, including artificial intelligence, conservation, memory and process improvement.

The Mendeley Catalog is an ever-growing resource that currently contains over 300 million research papers. You can search the entire Catalog using the search tool that appears in the main toolbar in your Mendeley.com interface. You can also get personalized recommendations of new papers to read from Mendeley Suggest by creating a Mendeley account.

Computer Science

Methods for interpreting and understanding deep neural networks
https://www.mendeley.com/catalogue/methods-interpreting-understanding-deep-neural-networks/

Abstract extract:
“This paper provides an entry point to the problem of interpreting a deep neural network model and explaining its predictions […] The set of methods covered here is not exhaustive, but sufficiently representative to discuss a number of questions in interpretability, technical challenges, and possible applications.”

Computer Science Figure
Fig. 8. Simple Taylor decomposition applied to a convolutional DNN trained on MNIST, and resulting explanations. Red and blue colors indicate positive and negative relevance scores.

 

Education

The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education
https://www.mendeley.com/catalogue/cronbachs-alpha-developing-reporting-research-instruments-science-education/

Abstract extract:
“Cronbach’s alpha is a statistic commonly quoted by authors to demonstrate that tests and scales that have been constructed or adopted for research projects are fit for purpose […] This article explores how this statistic is used in reporting science education research and what it represents.”

Physics and Astronomy

Theory of dynamic critical phenomena
https://www.mendeley.com/catalogue/theory-dynamic-critical-phenomena/

Abstract extract:
“When a system is brought to a critical phase transition, such as the gas-liquid critical point where the density difference between liquid and gas disappears, or the Curie point of a ferromagnet where the spontaneous magnetization disappears, many of its properties exhibit singular behavior.”

Environmental Science

Human–Wildlife Conflict and Coexistence
https://www.mendeley.com/catalogue/humanwildlife-conflict-coexistence/

Abstract extract:
“Recent advances in our understanding of conflict have led to a growing number of positive conservation and coexistence outcomes. I summarize and synthesize factors that contribute to conflict, approaches that mitigate conflict and encourage coexistence, and emerging trends and debates.”

Medicine

Worldwide trends in diabetes since 1980: A pooled analysis of 751 population-based studies with 4.4 million participants
https://www.mendeley.com/catalogue/worldwide-trends-diabetes-since-1980-pooled-analysis-751-populationbased-studies-44-million-particip/

Abstract extract:
“One of the global targets for non-communicable diseases is to halt, by 2025, the rise in the age standardised adult prevalence of diabetes at its 2010 levels. We aimed to estimate worldwide trends in diabetes, how likely it is for countries to achieve the global target, and how changes in prevalence, together with population growth and ageing, are affecting the number of adults with diabetes.”

Medicine Figure
Figure 7.

 

Neuroscience

Competition between engrams influences fear memory formation and recall
https://www.mendeley.com/catalogue/competition-between-engrams-influences-fear-memory-formation-recall/

Abstract extract:
“Collections of cells called engrams are thought to represent memories. Although there has been progress in identifying and manipulating single engrams, little is known about how multiple engrams interact to influence memory. In lateral amygdala (LA), neurons with increased excitability during training outcompete their neighbors for allocation to an engram. We examined whether competition based on neuronal excitability also governs the interaction between engrams.”

Chemistry

The state of understanding of the lithium-ion-battery graphite solid electrolyte interphase (SEI) and its relationship to formation cycling
https://www.mendeley.com/catalogue/state-understanding-lithiumionbattery-graphite-solid-electrolyte-interphase-sei-relationship-formati/

Abstract extract:
“An in-depth historical and current review is presented on the science of lithium-ion battery (LIB) solid electrolyte interphase (SEI) formation on the graphite anode, including structure, morphology, composition, electrochemistry, and formation mechanism.”

Chemistry figure
Fig. 1. Energetics of the formation of the anode and cathode SEI layers under electroreduction and electro-oxidation conditions [21]. “Reprinted (adapted) with permission from (Goodenough, J. B.; Kim, Y. Chemistry of Materials 2010, 22, 587). Copyright (2010) American Chemical Society.”

Material Science

Surface texture metrology for metal additive manufacturing: a review
https://www.mendeley.com/catalogue/surface-texture-metrology-metal-additive-manufacturing-review/

Abstract extract:
“A comprehensive analysis of literature pertaining to surface texture metrology for metal additive manufacturing has been performed. This review paper structures the results of this analysis into sections that address specific areas of interest: industrial domain; additive manufacturing processes and materials; types of surface investigated; surface measurement technology and surface texture characterisation.”

Material Science figure
Fig. 4. A typical truncheon artefact [49].Enter a caption

Find more papers of interest by searching the Mendeley Catalog at Mendeley.com.

Register with or sign in to Mendeley to get personalized recommendations for papers from Mendeley Suggest.

Top 5 Trending Computer Science Papers in January 2019

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Top 5 Trending Computer Science Papers in January 2019

During January we analysed millions of open access academic papers in Computer Science to discover the top 5 articles being read by Mendeley users in the Computer Science discipline. We believe these papers will have an impact on the influential academic papers of tomorrow.

Mendeley Trending considers the number of people reading a specific paper, the change in number of new readers within a timeframe and how recently the paper was published.

Some of these papers can be viewed on the Mendeley Web Catalog, and to access others you may need to click on ‘Get full text’ to view it on the publisher’s site.


A) A survey on sentiment analysis challenges (230 Readers)

graph of sentiment analysis

With accelerated evolution of the internet as websites, social networks, blogs, online portals, reviews, opinions, recommendations, ratings, and feedback are generated by writers. This writer generated sentiment content can be about books, people, hotels, products, research, events, etc. These sentiments become very beneficial for businesses, governments, and individuals. While this content is meant to be useful, a bulk of this writer generated content require using the text mining techniques an…

Doaa Mohey El Din Mohamed Hussein et al. in Journal of King Saud University – Engineering Sciences (2018)

B) Opportunities and challenges in developing deep learning models using electronic health records data: A systematic review (162 Readers)

Infographics of the opportunities and challenges in developing deep learning models using electronic health data

OBJECTIVE Electronic health records (EHRs) are an increasingly common data source for clinical risk prediction, presenting both unique analytic opportunities and challenges. We sought to evaluate the current state of EHR based risk prediction modeling through a systematic review of clinical prediction studies using EHR data. METHODS We searched PubMed for articles that reported on the use of an EHR to develop a risk prediction model from 2009 to 2014. Articles were extracted by two reviewers, an…

Cao Xiao et al. in Journal of the American Medical Informatics Association (2018)

C) Big Data in Smart Farming – A review (971 Readers)

Smart Farming is a development that emphasizes the use of information and communication technology in the cyber-physical farm management cycle. New technologies such as the Internet of Things and Cloud Computing are expected to leverage this development and introduce more robots and artificial intelligence in farming. This is encompassed by the phenomenon of Big Data, massive volumes of data with a wide variety that can be captured, analysed and used for decision-making. This review aims to gain…

Sjaak Wolfert et al. in Agricultural Systems (2017)

D) Scientific development of smart farming technologies and their application in Brazil (170 Readers)

graphs of scientific development of smart farming technologies

Smart farming (SF) involves the incorporation of information and communication technologies into machinery, equipment, and sensors for use in agricultural production systems. New technologies such as the internet of things and cloud computing are expected to advance this development, introducing more robots and artificial intelligence into farming. Therefore, the aims of this paper are twofold: (i) to characterize the scientific knowledge about SF that is available in the worldwide scientific li…

Dieisson Pivoto et al. in Information Processing in Agriculture (2018)

E) Hierarchical Attention Networks for Document Classification (1349 Readers)

graphs of hierarchical attention networks

We propose a hierarchical attention network for document classification. Our model has two distinctive characteristics: (i) it has a hierarchical structure that mirrors the hierarchical structure of documents; (ii) it has two levels of attention mechanisms applied at the word and sentence-level, enabling it to attend differentially to more and less important content when constructing the document representation. Experiments conducted on six large scale text classification tasks demonstrate that …

Zichao Yang et al. in Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2016)


That’s it for open access Computer Science papers this month. If you enjoyed this post, please let us know with a like or share.

Explore the Mendeley Web Catalog here.