So, it's time to write your paper. You have worked hard and by now you have been able to amass sufficient data that is solid and coherent to make it into a manuscript.
QiWord can help you write a more compelling story by facilitating the way you collect and read the most relevant literature to include in your paper.
Writing a paper for publication is both a gratifying experience as well as a challenging one. It is gratifying because you have the opportunity to communicate your work with your peers. It is challenging because you have to compose a written story underlying the science behind your efforts.
When I was in graduate school, writing the 'introduction' and 'discussion' sections of my papers took me the most effort. Writing a well crafted introduction was about explaining what have been done in my field as well as introducing my work to the reader, describing briefly my main contribution. On the other hand, writing a well crafted discussion section was about conceptualizing the contribution of my results and contrasting and/or relating them to results published by others in the same field.
Omitting the citation of key publications either from your introduction, or most importantly, from your discussion can certainly reduce the relevance of your paper. Also, it may give the impression that you are not knowledgable enough about your field of study.
Interestingly, keeping on top of published papers in your field is becoming extremely difficult because of the increasing amount of new journals as well as the number of new papers being published on a weekly and monthly basis.
Using QiWord can greatly alleviate this problem because you can effortlessly create a digital library containing up to 4,000 full text articles harboring your keyword of interest, and use natural language processing and visualization desig, to sort out and bookmark the most relevant articles to read as well as cite at the time of writing your manuscript.
By taking advantage of the 'Same Sentence' function in QiWord, you can query the entire collection to identify single sentences containing any two terms, with the corresponding link to the article. This allows you to quickly track short bits of extremely specific information related to your interest, so that you can bookmark the article for later reading.
You can also identify most cited articles within your library.
By adopting this approach, it is very unlikely your will miss reading a relevant article that can be cited in your next paper, strengthening your discussion and helping you craft a more compelling story.
To learn more about QiWord visit https://qiword.co
Figure 1. A collection of about 1,700 full text articles assembled on 'salt tolerance' was queried & visualized for the terms 'sorghum', 'maize' and 'rice' by running the 'WordCount' function on QiWord. Articles containing the term 'sorghum' are shown on the graph as 'blue dots', whereas articles containing the term 'maize' are shown as 'orange dots'. The same is true for 'rice' in green color. You can double click on selected dots in the chart to open the full text of the article.