Moving to Sweden as a doctor: PhD admission

I have been receiving several phone calls and messages from doctors who want to move to Sweden. Most of them made the choice because their spouse is already in Sweden, while some others want to move to Sweden in search of good career opportunities, possibility to do research and quality lifestyle. When I started getting two or three queries every week or so, I decided that I write this blog post. If you have been directed to this blog post by me, please read it completely and ask me only follow-up questions. Thank you for understanding.

How and why did I move to Sweden?

I decided to move to Sweden for my then fiancé, who is now my life partner. While we met in 2015, I was doing my house-surgeoncy (internship) in India. My partner was doing his PhD in Sweden at that time. Besides this reason, I knew that post-graduate studies in India would mean 24*7 hardwork, stress, working in resource poor settings and zero fun. I was interested in volunteering for Wikipedia, painting and reading books in general. I knew that I will have to give up all these things I love in order to make my career as a specialist doctor in India.

I was interested in research, but I was good at clinical practice too. I didn’t have any past experience in research, but I had done my mandatory research project for MBBS with enthusiasm. I had assisted Wikipedians and post-graduates to do research. Opportunities for research were sparse in India, and most of them came without any funding or mentorship. While we were discussing career, my partner pointed out that I could try doing research in Sweden. I started gathering information about this possibility, and found that my MBBS from India is considered equivalent to a master’s degree (not specialist degree) in Sweden, because it offers a syllabus similar to the MD program in Sweden. Please note that MD is the basic medical degree in Sweden, equivalent to MBBS in India. When you specialize in a subspeciality in Sweden, you don’t get any extra degree, but you will be called as a specialist doctor in that subspeciality. For example, when you finish medical school in Sweden, you get an MD degree. Suppose you specialize in general medicine later on, your degree becomes MD (General Medicine).

I figured out that PhD admission in Sweden requires 4.5 years of university education in the relevant subject. Some PhD positions had specific requirements such as that the student should know fluent Swedish, that the student should have relevant experience in animal research and so forth. The application can be made free of cost, but please be aware that most PhD positions are highly competitive. The link to the application portal of Gothenburg University can be found here. It is not uncommon that as many as 200 applicants apply for one position. Fortunately for me, there were only around 30 applicants who applied for the PhD position that I later got selected for. Many applicants are likely to have a specialist degree in the subject area, so you have to show in your CV and letter of motivation that you have some unique skills that is useful for that particular PhD project. If you want to see what a CV and letter of motivation (LOM) looks like, please leave a comment in the comment box below with your e-mail ID and I shall send my CV and LOM to you.

If you are a medical doctor, you can choose to study either pre-clinical or clinical subjects. There are usually more research opportunities in pre-clinical subjects than clinical subjects. Some projects require that you have experience working with animals or cell cultures. When you apply for pre-clinical subjects, be aware that you are competing with those who have a masters in that particular topic. For example, an applicant with masters in microbiology is likely to have more knowledge about COVID-19 vaccine than you. Clinical researches usually involve working with patient data. If your project needs that you have patient contact, it is very likely that knowing Swedish is a requirement for application. Some projects might require that you have a Swedish medical license, because you might also have to involve in examining or treating patients. A lot of information about the project will be available on the application page, but you can also e-mail the responsible Professor and ask for more details if something is unclear. Don’t always expect fast replies, though.

It is the Professor’s discretion to choose the person they think is the most suitable for the PhD position. You are more likely to get a position if you know academic English, have published research papers in the past, worked as a research assistant or have any other relevant experience related to the research project. Make sure to write about these in your CV or letter of motivation. Knowing Swedish language is a plus, especially if you are applying for PhDs in clinical sciences. In clinical sciences, you will often need to communicate with patients for data collection, which is why Swedish is usually an important requirement for clinical PhDs. In my case, Swedish was not mandatory because a good part of data collection had already been done. Professors usually take one to two months after the application deadline to find the right candidate. Most PhD vacancies are sent out around January (after Christmas) and September (after summer vacation), but you can always find a few vacancies on the Gothenburg University’s job portal regardless of the time of the year.

I had two rounds of interviews over Skype. In the first interview, I was asked about general things in life, my interests, my future plans, my experiences as a doctor, my reasons for choosing an academic career and so forth. It felt more like a friendly discussion than like an interview. I was asked to read through the thesis of a past student before I appeared for the second round of the interview. I read through the thesis and found it interesting, although many terms and concepts were new to me. I looked up as many unknown concepts as I could. The second round interview was more focused on my knowledge related to medicine and research, although I can’t remember being asked any tough questions. A week after the interview, I was informed that I got the job.

After the successful interview, I was asked to send my original certificates to the University for verification. My partner was returning to Sweden from India at that time, so I sent the certificates with him. It took around a month for them to complete the verification process and I was informed about the PhD admission officially from the University. I had applied for a spouse visa to move to Sweden at that time, so I switched it to PhD visa. I did this so that my visa application would be processed faster, because the waiting time for the PhD visa was shorter than the spouse visa. You can check the present waiting times for all visa categories here.

The duration of the PhD program varies depending on whether you perform lab duties and teaching or not. I got a 4 year program that does not involve teaching or lab work. It is not unusual to have 5 year and 5.5 year programs. It is wise to choose a longer program with teaching included if you are planning to continue in academia, because, with teaching, you can gain the relevant experience needed to get promoted as an assistant professor in future. If you instead plan to go back to the clinic or to the industry, a 4 year program would be more suitable for you.

I applied in November 2015, got interviewed in early February 2016 and got accepted for the position in late February 2016. My certificates got verified in March 2016. I then waited for two more months to get my PhD visa, and started working as a PhD student from June 2016.

Later posts in this series:

  1. Moving to Sweden as a doctor : Learning Swedish
  2. Moving to Sweden as a doctor: Medical license exam
  3. Moving to Sweden as a doctor: Practical exam
  4. Moving to Sweden as a doctor: Practical training
  5. Moving to Sweden as a doctor: Starting Specialist Training
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Free Medical Images Collection

These days I am illustrating Wikipedia articles with images related to medicine. Sometimes, the existing image(s) on an article are too old, so I would want to add a newer, higher resolution image by replacing the old one. Some articles do not have images at all. A major problem for me was in finding the right image for the given article. Wikipedia accepts images/media that are CC-BY-SA or lower, so I had to go through the existing image repositories to find out those with the right license for Wikipedia. I decided to tabulate some of the image repositories that have medical content, along with the license they are shared under. I hope this would be useful not only for me, but for everyone else who are looking for free images related to medicine. Please note that this is not a comprehensive list, I have only included the repositories that I know of.

Source License Notes
Creative Commons search CC-varied Datasets from these collections are found on CC-search.
All Free Photos Free photos of all kinds
Burst Images Public Domain Free photos of all kinds
Medpix All Rights Reserved Medpix is a repository of medical cases run by the NIH, USA. The images are free for personal use, but need permission from the authors for any use other than personal. Contact the authors directly for permission.
Radiopedia CC-BY-NC-SA Collection of radiology images. Copyright rests with the author of the image.
Flickr Commons CC varied Media from Flickr Commons also shows up on CC search.
British Library Images from British Library, UK
ASH Image bank Fair Use A collection of hematology images. Login needed, free account creation.
Centre for Disease Control and Prevention Mostly Public Domain Images related to healthcare, diseases, health promotion etc.
Brain Biodiversity Bank All rights reserved Altas of human brain. Radiology images and 3D movies available. Free re-use permitted, contact the authors for re-use permissions.
US National Library of Medicine Fair Use Contain images related to. medicine. Obtain permission from the website for re-use. Permission shall be granted on a case-by-case basis. Some images are CC.
National Eye Institute CC varied Some images are CC-BY. Results can be found from CC-search.
Duke University Digital Repository CC-BY-NC-SA Contains advertisements and handouts of medical products
Visible Body All Rights Reserved Some content is available without subscription. Contains 3D anatomy resources.
3D Embryo Atlas CC-BY-NC-ND Media related to embryology
Bio Atlas Use with attribution Contains high resolution histology and histopathology images of humans and animals
CAOM Histopathology slides, pages are slow to load. From Poznan
Brain-Maps Histo- and gross images of brains of humans and animals
Cancer Digital Archive Image repository of oncopathology
Aurora M-scope Most images in Public Domain Contains histopathology slides. Needs a special software for opening the files in high resolution.
Heidelberg University All Rights Reserved Contains educational images related to pathology
Pathobin A platform for uploading pathology slides. Copyright lies with the uploader.
National Institute of Health, USA Public Domain Images are on Flickr, hence available using CC-search.
Europeana CC varied Contains media related to history of medicine and natural history
Fossil Forum Collection of fossils. Individual uploaders hold the copyright. Fair use permitted.
Medillsb Varied Website of the association of medical illustrators. Contact individual authors for re-use.
Medical Graphics DE CC-BY-ND Illustrations related to medicine.
LifeScienceDB CC-BY-SA Create your own photos and videos of human anatomy
Neuroanatomy CC-BY-SA-NC Neuroanatomy media. From University of British Columbia. Contains 360 degree views of the brain, MRIs etc.
Dollar Street CC-BY-SA Collection of everyday objects, people, families showing socioeconomic status of people around the world.
Cell Image Library CC-varied Mostly public domain images of cells.
Heal Collection CC varied Images for medical education.
Stanford Medical Library CC varied Images related to medicine from Stanford.
National Cancer Institute CC-varied Contains media related to cancer.
Histology Atlas CC-BY-NC-ND Histology images
Audilab CC-BY-NC-SA 3D images related to anatomy
Sketchfab CC-BY-NC-SA Illustrations related to human body
Open Access Biomedical Search Engine Can perform advanced search by License type
Science Images of Australia CC-BY Natural history, medicine images
Library of Congress collection Varied History of medicine
The noun project CC-BY Contains icons for general use and those related to medicine
Somersault Images CC-BY-SA-NC Illustrations related to medicine
Smart Servier CC-BY Illustrations related to medicine
Ghorayeb Images CC-BY-NC=ND Collection of images from ENT
Ecure Me All Rights Reserved Illustrations and photos of diseases
University of California All Rights Reserved Images of clinical signs and symptoms
University of Iowa All Rights Reserved Images of dermatological conditions
Internet Pathology Laboratory All Rights Reserved Images related to pathology
Atlas of endoscopy All Rights Reserved Images related to endoscopy/gastroenerology

Gandhian Philosophy and neurorehabilitation

This is the essay and poster on Gandhian Philosophy in Neurorehabilitation prepared for the 10th World Congress in Neurorehabilitation, Mumbai, India.

Gandhian Philosophy and Neurorehabilitation_Sahlgrenska


 

Neurorehabilitation is a complex process that involves minimization of neural damage and compensation of limitation of functions arising from neural disorders. New insights on neurorehabilitation can be gathered when observed from a Gandhian point of view. The perspectives, ideals, and vision of Gandhi are relevant today that one can find many parallels of principles from his life that are now used in medical practice worldwide.

Simplicity is prominently reflected in Gandhi’s ideas and way of living. His affinity to simplicity was evident even during his early days in England, when he cut down all unwanted expenses and chose to live in a modest setting. Gandhi firmly believed that happiness and prosperity are not bound to materialistic things but are derived from internal peace and satisfaction. He was against over-consumption and affinity to material possessions. The Gandhian virtue of simplicity has an important role in neurorehabilitation where the focus is on patient’s personal satisfaction and fulfilment. Oftentimes, the simplest of all interventions might be the most therapeutic to the patient. Some of the most complex life decisions of the patient can be changed simply by offering new perspectives. In neurorehabilitation, some of the most effective interventions such as mirror therapy and physical exercise are cheap, simple and inexpensive.

Gandhi had a holistic approach to his development as a complete social being. He did not divide his personal and private life into watertight compartments and mixed social, political and religious work harmoniously. He also believed that all life goals should be defined in such a way that it should make progress not only to one’s lifestyle, but also to one’s family, nation and the world. This philosophy of holism is one of the pillars of modern neurorehabilitation. A neurorehabilitation professional not only caters for the physical and psychological aspects of the patient, but also for the social and cultural dimensions of his/her personality. Neurorehabilitation involves working with not only the patients, but also their families. It also draws no boundaries between personal needs and social needs. Neurorehabilitation deals with several aspects of the patient’s life including nutrition, mobility, cognition etc. Thus, quality rehabilitation can be administered only by considering the patient as a whole, and not as a sum of organs.

Inclusivity and diversity were Gandhi’s core values. The ‘Hind Swaraj’ of his vision was the one where people thrived and cooperated despite differences in caste, creed, gender or religion. The same vision is applicable to neurorehabilitation in which all medical practitioners, caregivers, the family, and community have to work together with the patient to bring him/her to the fullest possible potential. There cannot be any hierarchy in terms of work division and everyone’s role is crucial in rehabilitating the patient. Gandhi emphasized that one’s action should be directed at the well-being of the poorest and weakest man (woman). This principle is of great importance in neurorehabilitation where the healthcare professional has to deliver the most care to the neediest and weakest patient.

Gandhi warned his followers that ‘healing should be its own reward’. In the present day world, medical care is commercialized and monetary reward is the primary reason for those involved in the healthcare industry. Gandhi had foreseen this problem as early as in 1925 when medical science was in its infancy. In neurorehabilitation where often debilitated patients might need lifelong treatment, it is inhumane to be acutely business-minded. Gandhi had also noted that science without humanity is the root of violence. In neurorehabilitation, the focus of the researcher and practitioner is on being compassionate, empathetic and tolerant. These humane values are emphasized more in neurorehabilitation than in other branches of medicine.

Gandhi had a life-long commitment to his ideals. His lifelong dedication to ahimsa and satyagraha are well-known and are praised by scholars and disciples alike. Similarly, in neurorehabilitation, the patients often need life-long care. Hence, neurorehabilitation becomes an integral part of the lifestyle of the patient. The patient and the healthcare professionals should work hand-in-hand, often throughout the lifetime of the patient to meet the goals of the therapy. Gandhian value of satyagraha encompasses the same philosophy: being patient, working consistently, and not stopping until the goal is reached.

The ideal community as envisioned by Gandhi is a reformed one where each individual works harmoniously to produce a self-sustaining economy. This aspect of community involvement is well-established in neurorehabilitation. The ‘social safety net’ provided by the state, and the ‘social cushion’ provided by the community are very important for patients needing neurorehabilitation. Community support and social awareness regarding neurorehabilitation are essential for enforcing policy change for accessible public spaces, pension plans and return-to-work policies.

It is evident that Gandhian philosophy is closely in alignment with the core principles of rehabilitation. Gandhi’s ideas and practices should continue to inspire healthcare professionals to seek provisions for applying ahimsa in various facets of their work in neurorehabilitation. In current times of intense competition, we, the healthcare professionals, must embrace Gandhi’s integrity and avoid the temptation to forego morality and empathy.

Travel Quiz Questions

This is the slide deck I prepared for Reverberates Online Quiz (external link to Facebook). They are a bit hard to crack, but if Google is your friend, you might be able to get one clue after the other from the question statements, which you can google separately. Image search may also sometimes lead to the answers.

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Photos from Wikimedia Commons, Flickr CC-BY-SA or CC-BY-NC, 2.0/3.0. All logos and photos taken from copyrighted sources used in the slideshow are low resolution and are for illustrative and educational purposes only (Read more about fair Use here). For the pdf/pptx version of this quiz set, please contact me directly. 

General Quiz Questions (Part 3)

This is the quiz set I created for a school quiz in Thamarassery in 2014. Looking back, some of the questions appear interesting to me, especially the one with spiderman’s arm.

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Photos from Wikimedia Commons, Flickr CC-BY-SA or CC-BY-NC, 2.0/3.0. All logos and photos taken from copyrighted sources used in the slideshow are low resolution and are for illustrative and educational purposes only (Read more about Fair Use here). For the pdf/pptx version of this quiz set, please contact me directly. 

General Quiz Questions (Part 2)

This is the quiz set on current affairs I prepared for a quiz held in Calicut Medical College (I forgot the occasion). As you guessed it, many questions might be outdated by now.

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Photos from Wikimedia Commons, Flickr CC-BY-SA or CC-BY-NC, 2.0/3.0. All logos and photos taken from newspapers used in the slideshow are low resolution and are for illustrative and educational purposes only (Read more about Fair Use here). For the pdf/pptx version of this quiz set, please contact me directly. 

General Quiz Questions (Part 1)

This is the question set I created for Interbatch Quiz, 2014 held at Government Medical College, Kozhikode Interbatch competitions. I am planning to post more quiz questions and their answers in the coming months, so watch this blog if you are interested in answering more of these questions. Please also feel free to adapt and modify these questions for use in your quiz contest.

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Photos from Wikimedia Commons, Flickr CC-BY-SA or CC-BY-NC, 2.0/3.0. All logos and photos taken from newspapers used in the slideshow are low resolution and are for illustrative and educational purposes only (Read more about Fair Use here). For the pdf/pptx version of this quiz set, please contact me directly. 

Gender Gap in Wikipedia’s content

Only 15% of all biographies on English Wikipedia belong to women. Women and men are portrayed differently on Wikipedia in terms of article structure, the use of infoboxes, network properties, notability etc. This research project is aimed at mapping the gender gap on Wikipedia in terms of its content. This work is done as a followup report to my presentation at WikiWomenCamp 2017. The aim is to create a review of peer-reviewed research papers on gender gap on Wikipedia’s content.

Methods

  • Find all relevant articles for the analysis using Google scholar. Keywords used are ‘Wikipedia’, ‘gender’, ‘content’, ‘women’, ‘bias’ and various relevant combinations of these words.
  • Screen the title and abstract to include only those studies that fit the inclusion criteria. Further screening for content to only include the studies about gender gap in Wikipedia’s content.
  • Assess the validity and reliability of the results
  • Systematic presentation of the findings

Rosiestep_at_WikiDivCon_2017
Rosie Stephenson Goodnight has worked extensively on bridging the gender gap in English Wikipedia. Photo: Camelia.boban, CC-BY-SA 4.0, Wikimedia Commons

Results

The results were summerized under four categories :

  • Coverage bias : Coverage bias occurs when men and women are covered differently on Wikipedia. For example, the coverage bias may manifest as differences in the number of notable women and men portrayed on Wikipedia.
Research Data Methods Findings
Wagner et al [1] Wikipedia in 6 language editions Wikipedia in 6 languages compared to several datasets: Freebase, Pantheon, Human Accomplishment, crawled the content of articles about people in the reference datasets using Wikipedia’s API (November 2014). Men and women are covered equally well on Wikipedia and articles about women tend to be longer than articles about men on Wikipedia, when compared to those from the reference datasets.
Graells-Garrido et al [2] The DBPedia 2014 dataset, The Wikipedia English Dump of October 2014 The DBPedia and Wikipedia data dump were analysed for metadata properties. The gender of a biography, whenever not mentioned, was determined by ‘inferred gender for Wikipedia biographies’ (Bamman and Smith) 15% of articles in ‘Person class’ were about women. In comparison to the global proportion of women, the categories that over-represent women are Artist, Royalty, FictionalCharacter, Noble, BeautyQueen, and Model.
Reagle & Rhue [3] Biographical subjects from several sources (100 Most Influentiial figures in American History, TIME magazine’s list of 2008’s most influential people, Chambers Biographical dictionary, American National Biography Online) compared to English Wikipedia and Britannica. A Python program was used to compare web pages related to the subjects targeted in the reference sources. Google API was queried for top four results. Gender was guessed by the balance of gendered pronouns (she, her, he, his). The length of an article is determined by the words of article content and does not include citations and other miscellany. Wikipedia provides better coverage and longer articles on women than Britannica. Wikipedia has more articles about women than Britannica in absolute terms, but articles about women on Wikipedia are more likely to be missing than articles about men compared to Britannica.
Wagner et al [4] DBPedia 2014 dataset, inferred gender for Wikipedia bios Calculated the number of language editions in which per biography is represented and google search volume of women’s bio, compared them with Wikipedia articles Women in Wikipedia are more notable than men, which the authors interpret as the outcome of a subtle glass ceiling effect.
  • Structural bias : Structural bias refers to preferential use of gender-specific tendencies while connecting articles on notable people. For example, there may be more links to men’s biographies on articles related to women.

WikiGap_sthlm
WikiGap is a program dedicated to closing the content gap on Wikimedia.

Research Data Methods Findings
Wagner et al [1] Wikipedia in 6 language editions Wikipedia’s API (November 2014), analysed for probability that a link from article with gender g1 ends in an article with gender g2. Articles about women connect less to articles about men via interlinks. Articles about people with the same gender tend to link to each other. Articles about women tend to link more to articles about men than the opposite. Men are more central than women in English, Russian and German language Wikipedia.
Graells-Garrido et al [2] The DBPedia 2014 dataset, The Wikipedia English Dump of October 2014 Proportion of links from gender to gender was calculated and tested against expected proportions. Analysed distribution of PageRank by gender to understand centrality. Women biographies tend to link more to other women than to men. The article with highest centrality tend to be predominantly about men, beyond what one could expect from the structure of the network.
Wagner et al [4] DBPedia 2014 dataset, inferred gender for Wikipedia bios, attributes, PageRank Explored to what extent the connectivity between people is influenced by gender. Investigated the relation between the centrality of people and their gender using PageRank. The top-ranked women according to PageRank are slightly less central than men, and the centrality of women decreases faster than that of men with decreasing rank. There exists a bias in the generation of links by Wikipedia editors, favoring articles about men.
  • Lexical bias : Lexical bias refers to the inequalities in the terms used to describe men and women on Wikipedia. For example, the articles about women are more likely to have details about their family life.
Research Data Methods Findings
Wagner et al [1] Wikipedia in 6 language editions Open vocabulary approach where classifier determines which words are most effective in distinguishing the gender of the person an article is about. Log likelihood ratios are used for comparing different feature-outcome relationships. There is lower salience of male-related words in articles about men, which can be related to the idea of male as the null gender (there is a social bias to assume male as the standard gender in certain social situations). Words like “married”, “divorced”, “children” or “family” are much more frequently used in articles about women. This study confirms that men and women are presented differently on Wikipedia and that those differences go beyond what we would expect due to the history of gender inequalities.
Graells-Garrido et al [2] The DBPedia 2014 dataset, The Wikipedia English Dump of October 2014, Linguistic Inquiry and Word count (LIWC) dictionary To explore which words are more strongly associated with each gender, Pointwise Mutual Information is measured over the set of vocabulary in both genders. Also considered burstiness, a measure of word importance in a single document according to the number of times it appears within the document, under the assumption that important words appear more than once (they appear in bursts) when they are relevant in a given document. Marriage and sex-related content are more frequent in women’s biographies and cognition related content is highlighted in men’s biographies. Words most associated with men are mostly about sports, while the words most associated with women are to arts, gender and family. Of particular interest are two concepts strongly associated with women: her husband and first woman.
Wagner et al [4] Overview of English Wikipedia biographies, inferred gender for Wikipedia bios Analysed gender topic, relationship topic and family topic in Wikipedia’s biographies. Quantified the tendency of expressing positive and negative aspects of biographies with adjectives, as a measure of the degree of abstraction of positive and negative content. Family-, Gender-, and relationship-related topics are more present in biographies about women, linguistic bias manifests in Wikipedia since abstract terms tend to be used to describe positive aspects in the biographies of men and negative aspects in the biographies of women.
  • Visibility bias: Visibility bias occurs when articles related to men and women are differently promoted within Wikipedia. For example, men’s biographies are potentially more likely to be featured articles than women’s biographies, although the difference is not significant.
Research Data Methods Findings
Wagner et al [1] Wikipedia in 6 language editions Proportion of women’s biographies that make it to the main page of Wikipedia Selection procedure of featured articles of Wikipedia community does not suffer from gender bias.

 

Group_photo_of_women_wikipedian_with_Katherine_Maher_at_WikiConference_India_2016,_6_August_2016_3
Women Wikimedians at WikiConference, India 2016. According to a 2011 survey, only 3% of Indian Wikimedians were women. Photo: Afifa Afrin, CC-BY-SA, Wikimedia Commons

References

  1. ↑ a b c d It’s a man’s Wikipedia? Assessing Gender Inequality in an online Encyclopedia Wagner, Claudia; Garcia, David; Jadidi, Mohsen; Strohmaier, Markus (May 2015). “It’s a man’s Wikipedia? Assessing Gender Inequality in an online Encyclopedia”Proceedings of the Ninth International AAAI Conference on Web and Social Media. Retrieved 28 July 2017.
  2. ↑ a b c Graelles-Garrido, Eduardo; Lalmas, Mounia; Menczer, Filippo (September 2015). “First Women, Second Sex : Gender Bias in Wikipedia”Social and Information Networks. Retrieved 28 July 2017.
  3.  Reagle, Joseph; Rhue, Lauren (2011). “Gender bias in Wikipedia and Britannica”International Journal of Communication S: 1138–1158. Retrieved 28 July 2017.
  4. a b c Wagner, Claudia; Graelles-Garrido, Eduardo; Garcia, David; Menczer, Filippo (2016). “Women through the glass ceiling: gender asymmetries in Wikipedia” (PDF). EPJ Data Science. Retrieved 30 July 2017.

 

The same article can be found on meta-wiki here. A longer presentation containing information regarding gender gap research on Wikipedia can be found here.

Featured photo courtesy: Martina Cora, CC-BY-SA 4.0, Wikimedia Commons