Category Archives: Writing a thesis

Twelve common mistakes when writing an abstract


An abstract is typically the summary or overview of a scientific paper, thesis or report. The purpose of the abstract is to give your reader a complete summary of your entire project. As there is a never-ending supply of papers and reports to read, you only have two chances to engage your reader and to convince them to keep reading. The first is the title (and the keywords) and the second is the abstract.

A well-written abstract will maximise the chances of your document being read, understood and even enjoyed. If writing a research paper, a well-written abstract will maximise your publication success. Not only will reviewers appreciate a good abstract, it may be the only part of the paper they are sent when invited to review a paper.

This focus of this article is to highlight what is commonly wrong with abstracts. Please note: The relevancy of some issues raised here might depend upon your discipline or document type. For example, some academic journals do not require abstracts at all or only require a very brief project overview.


These common mistakes are not listed in any particular order and some overlap:

1. Not writing a summary

The abstract should be a complete, succinct summary of your entire project. Summarising is being able to identify and highlight key points using as few words as possible.

2. Not paraphrasing your own work

Paraphrasing is when you use your own words to convey meaning from another source, with the aim of improving clarity. Paraphrasing often includes summarising. One common mistake is to copy entire sentences from different parts of the paper into the abstract. This is not summarising or paraphrasing.

3. Not summarising your entire project

A common mistake is to only include certain parts of the project in the abstract. If your paper is structured into Introduction, Methods, Results and Discussion sections, then your abstract includes a summary of each section, often written as a complete paragraph or with headings. If the abstract lacks key information, for example the aim or the conclusions, the reader may not appreciate the strength of importance of your project and not be convinced to keep reading. Don’t assume your reader will search through your document for this information if they can’t find it in the abstract.

4. Using the abstract as a de facto Introduction or Discussion

After writing important introductory and conclusion explanations in the abstract, some authors then don’t include these details in the body of the document, fearing it will look repetitive. This can happen if the abstract is written before designing the rest of the document. Although drafting an abstract in the early stages of writing is a good idea, it is best to finalise your abstract when you have finished the rest of your document.

5. Including too much (or not enough) background

If the abstract is considered a de facto introduction, too much background may be included. Alternatively, a brief summary of the background might be omitted if the author assumes the audience is completely familiar with the project topic and the background. Never assume your reader knows your topic or project as thoroughly as you do; some of you readers might, but they will still need this information to appreciate what your document is about.

6. Including too many (or not enough) methods

A brief summary of the methods or procedure is important as they are a key component of any project. Given the potential complexity and diversity of a scientific study, it is easy to add too much detail about methods; an example is the unnecessary listing of all data collection instruments and their brand names. The following example from a research paper abstract is a concise summary of the methods. “Methods: We systematically reviewed the literature and meta-analyzed risk estimates from longitudinal studies reporting the association of coronary heart disease (CHD) or heart failure (HF) with risk of dementia.” Wolters F.J. et al. (2018)

7. Not explaining what your results mean

As your abstract should include a summary of all parts of your project, this includes a summary of the discussion or conclusion of your study. Some authors omit interpreting their results, expecting the reader to wait until they have read the entire document. They may not.

8. Including citations, abbreviations and detailed measurements

Standard convention is to avoid writing abbreviations, detailed measurements or citations in an abstract. In some cases, and in some disciplines, it may be difficult to avoid using abbreviations if they are used as terms, are not written in any other format, difficult to write in full or impractical to leave out.

9. Including information not presented in the paper

It may be tempting to include extra information that is not in the rest of the document but this is misleading. Stick to your key aim.

10. Not following the Instructions to Authors of your target journal

A journals’ Instructions to Authors are just that: instructions; they are not suggestions or simply good ideas, nor are they meant to replace a science style guide. Depending upon the extent of this omission, not following a journal’s Instructions to Authors can dramatically increase the likelihood your paper will instantly returned for further changes.

11. Not including keywords

Keywords of your study are essential to ensure that your paper is correctly indexed and so your document will be visible in different search engines. Some authors assume this step is not necessary, assuming that all terms will be visible. Keywords “help promote an article’s visibility within the publications iceberg”.

12. Not giving the conclusion

Sometimes authors leave out the conclusion or the summary of their findings as they expect the reader will then go on to read the entire paper to find the answer. However, if the reader cannot find the answers in your abstract, they may just skip your paper and go onto the next one on their list. Also, leaving out the conclusion goes against the tenet that an abstract should be a summary of the entire paper.


Remember:

  • Don't assume your readers know a little less that you do.
  • Don't assume all published papers have good abstracts.
  • Seek feedback before finalising your later drafts.


© Dr Marina Hurley 2025 www.writingclearscience.com.au

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11 tips for the struggling ESL science writer


For most people, learning a second language is a struggle, let alone learning how to be a proficient science writer in that language. The following tips and suggestions will help the struggling ESL science writer both identify and tackle common writing obstacles.

1. Don’t aim to learn all the rules of grammar before you start writing

It can take a long time to be proficient in all the English rules of grammar. Even many experienced writers with English as their first language are not proficient at English grammar rules, relying on their innate knowledge of the language when writing. Instead of thinking you need to learn every English grammar rule, concentrate upon the most common grammar errors when learning English as a second language. In a 2017 study, the most common written grammar errors by ESL tertiary students were found to be Subject – Verb Agreement (SVA) and Verb Tense (Singh et al. 2017).

2. Avoid trying to make your English grammatically-perfect in your early drafts

While the final version of your document should be grammatically correct, don’t worry about having perfect grammar before you start or when preparing early drafts. In your first draft, concentrate upon getting your ideas down and ensure you are addressing a clearly defined aim. You can fix up your grammar as you edit and rework your later drafts.

3. Try writing your first draft in your first language

If writing in English is a significant obstacle to getting your thoughts down, try writing your first draft in your first language to allow you to first concentrate upon writing about your topic clearly. Once you are satisfied with the progress of your document, you can then translate your writing into English and also seek assistance from a science editor to help you correct your grammar.

4. Continue with English conversation classes

Science writers who struggle to improve their written English, are also often not yet proficient in spoken English. Continuing with weekly or monthly English conversation classes will not only improve your written English, but will allow you to pick up commonly-used English vocabulary and terminology.

5. Ask a friend or colleague to regularly give you feedback on your spoken English

Normally, friends or colleagues will not correct your spoken English and unless you are continuing your conversation classes, it may take you a long time to learn where you need to improve. Try asking a friend or colleague to regularly give you feedback on your spoken English.

6. Ask a friend or colleague to give you feedback on late drafts of your document

In addition to any editing and feedback you might receive from co-authors, colleagues or managers, try asking a friend or colleague to give you feedback, specifically on your English grammar and word use. This person need not be an expert in English grammar but be ask them to point out any obvious anomalies in your writing. Having someone focus on giving you feedback on your English will allow other colleagues to focus on giving you feedback on the scientific aspects of your work. In return, you could also offer to give feedback on your colleagues’ writing. This will also help you to improve your writing as critiquing the work of other writers allows you to notice areas of improvement you might not see in your own work.

7. Use online grammar exercises to improve your grammar

Grammar textbooks are excellent as reference texts to look up individual rules, while online grammar exercises are a good way to learn how to correct grammar using real examples. Online grammar exercises immediately provide both corrections and explanations.

8. Avoid online forums to learn about grammar rules

Grammar queries that are posted in online forums (for example Quora) are invariably answered by both experts and non-experts and some answers can be incorrect. This makes it difficult to decide which is the correct answer to follow. Also, there are some grammar rules that are more difficult to follow than others, especially if there are many exceptions to the rule; for example, the spelling rule ‘i’ before ‘e’ except after ‘c’. Only refer to reputable grammar websites that are specifically designed for education.

9. Be aware that not everyone agrees about what is correct English grammar

Be aware that not everyone agrees about what is correct English grammar and what is acceptable vocabulary. For example, some experts advise never to use contractions (for example “We’re” instead of “We are”) in scholarly or formal writing, yet contractions do not change the accuracy of the message and are argued to make reading more enjoyable.

Choose 3-5 grammar references that are reputable and written by trained, professional experts and consistently follow their advice. Also aim to follow the standard references and style guides for your discipline and institution.

10. Hire an editor that can explain grammar rules

If appropriate for your circumstances and if you have the resources, hire an editor proficient at explaining grammar and ask them to give you regular feedback on your writing.

11. If using ChatGPT (or other AI programs) use Word's 'Compare Document' feature so you can check what changes have been made

Although ChatGPT might fix most of your grammar errors, just applying its changes won't help you learn to improve your writing. Also, you cannot be sure that ChatGPT won't make mistakes. 

If you do use ChatGPT, use Word's Compare Document feature so you can check what changes have been made. Whenever you use ChatGPT, you need to check that any changes haven't changed your intended meaning

© Dr Marina Hurley 2025 www.writingclearscience.com.au

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University Policies on the Use of Artificial Intelligence


I will be writing about the use of AI for science writing in upcoming blogposts and even if you are not a university student, finding out what is being taught and recommended at universities is a good place to start.

I am interested in knowing how many Australian Universities have a policy on the use of Artificial Intelligence by staff and students for the purposes of teaching, learning and assessment. So, I asked ChatGPT to produce a list of all Australian University websites that include AI-related policy - see the list below from nine universities. Although this list is not complete I thought I would share it here for future reference. 

If the university you are interested in is not in this list, just type the universities url plus  'AI policy' into the url address bar. I add this explanation here as some people do not know that you don't need to go to a google search bar to do a search. 

For example, Adelaide University is not in this list, and my search produced three pages: 


University

                 AI / Generative AI Policy / Academic-Integrity-AI Page

ANU (Australian National University)

Guide for students: best practice when using generative AI — ANU academic integrity guidance. Australian National University

Macquarie University

Responsible & Ethical Use of AI Policy. policies.mq.edu.au+1

University of Melbourne

Artificial intelligence tools & technologies page on AI & academic integrity. Academic integrity
Also their “university policy & actions” on AI. Academic integrity

Swinburne University of Technology

- AI Usage Procedures Swinburne University
- AI Guidelines (ethical use) Swinburne University

Federation University

Artificial Intelligence Guidelines (teaching, research, operations) Federation University Policy

University of Sydney

Academic integrity / AI page: use of generative AI, assessment “two-lane” policy. The University of Sydney
Also, “Using artificial intelligence tools responsibly” guidance. The University of Sydney
News on their AI-assessment policy. The University of Sydney

James Cook University (JCU)

- Artificial Intelligence Policy (governance) James Cook University+1
- Generative AI & Academic Integrity for students. James Cook University

Western Sydney University

Use of Artificial Intelligence Policy (learning, teaching, assessment, research) policies.westernsydney.edu.au
Also academic integrity page covering AI. Western Sydney University: Home

University of Wollongong

GenAI in assessment — policy / guide for students about using generative AI tools. University of Wollongong

Do you have an AI policy in your workplace? If so, I would be grateful to learn more about more examples. Please email admin@writingclearscience.com.au

If you want to be kept up-to-date on future blogs on on this and other science writing topics, or if you want to hear more about what I teach you can join my mailing list here.

© Dr Marina Hurley 2025 www.writingclearscience.com.au

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Zoom’s AI Companion Meeting Summary was inaccurate, vague and full of errors


Recently, I ran a 90 minute online workshop for 15 science writers using Zoom and checked the accuracy of Zoom's, AI Companion Meeting Summary.  I was surprised at how bad it was.  This lack of quality concerns me, given that Zoom offers to automatically send participants the AI Companion summary immediately after each meeting. As I offered to send the AI summary to the students, I am relieved I checked it first! I spent so much time editing it and adding in a lot of crucial summary points, that it would have been much easier to write it myself. The final product was still not how I would have written it and I was pleased that I had my powerpoint slides to send them as well. 

I then thoroughly critiqued what it produced using Word’s track changes so that I could demonstrate how poor the summary was. I edited the summary, attempted to correct the inaccuracies and oversights and wrote 24 comments.

For a quick read, refer to the Overview of My Critique below. This is followed by the entire critique, that includes worrying examples of significant changes in meaning by AI Companion. Rather than crowding out Word’s track changes, I added yellow-highlighted numbered labels - like this [1] - and wrote my comments in a separate list after each screenshot of my editing. 

Overview of My Critique

  • The structure of the summary was not coherent. It started with an inadequate summary of the summary (which it titled ‘quick recap’), followed with ‘Next steps’ which was good* but should have been written as bullet points.
  • The summary did not follow the 5 step structure of my workshop nor did it use the titles of each step as headings. Instead it loosely paraphrased some of these steps while promoting minor comments to be major summary points.
  • The headings it created were vague, out of place and did not represent what was presented in the workshop.
  • The order of the information did not always follow what was presented in the workshop. Some information was not only out-of-context, but wedged in the middle of key teaching points that worryingly changed their critical meaning.
  • Other key teaching points were mostly not summarised and left out entirely.
  • Instead of summarising the information, it often gave generalisations** instead, and it paraphrased my comments using vague and ambiguous language.

* This is only one of the two positive comments I have of Zoom's AI Companion Meeting Summary. The second is comment [14].

** For anyone wondering about the difference between generalising and summarising, here is an example: I can create a list of all the cars parked outside a café and list their makes, models and colours. I could then make a generalisation of this information by saying, ‘there were a few cars of different sizes, makes and models parked outside the café’ or I could summarise this information by saying. ‘there were 7 cars of four different colours parked outside the café and all were different makes and models’.

My entire critique

[1] Zoom’s AI made a glaring error by omitting the meeting (workshop) title. Instead, it gave a vague description by just generalising the topic as ‘a Science Writers workshop’. The title of any document, meeting, workshop or event is it’s most important descriptive feature and surely not difficult to include into the summary itself.

[2] While not a huge issue, using the word ‘sharing’ in this context is colloquial and vague. The students did not ‘share’ their projects. They briefly described them. Generally speaking, if I was using AI to write for me, I wouldn’t want it to use colloquial language for scientific, professional or academic writing unless it was used well [see 14] or if there was a specific reason for doing so.

[3] Another minor point here: ‘Focused on providing’ is verbose and long-winded. ‘Provided’ is more concise and straightforward.

[4] Once again, not only is Zoom’s AI generalising about the content of the workshop, it is incorrect. I did not teach ‘effective science writing’. If that was the topic of my workshop, the content would have been quite different and the workshop would be longer.

[5] Instead of saying ‘like’, why not simply state the topics that were presented? There were only five key topics, so it’s not as though there were too many topics to choose from.

[6] It is hard to understand why the phrase ‘All participants to’ was repeated on every line instead of just creating bullet points. Also ‘All participants to’ is vague and missing the verb phrase 'were asked'. Cutting out verbs is not a good way to appear concise.

[7] Again, ‘Marina to email’ is colloquial. Replacing ‘to’ with the verb ‘will’ is not only grammatically correct but also easier to read.

There are no new numbered comments in this section above, but notice the important omissions and the repeat of issues raised in [1] and [2]

[8] This is a not an informative heading and it was not the title of my workshop, and if it was, why is it placed halfway through the summary? There was a 5-step structure to the workshop, with each step title that clearly introduced and repeated when teaching each step. Summarising around these steps would be a far simpler and accurate way to structure a summary.

[9] Repetitive and incorrect. See [4]

[10] I am not sure what Zoom’s AI Companion did here. These are not summary points and this information appeared completely in the wrong place. They were merged with other comments I made at a different time and on a different topic.

[11] I am not sure why a this heading ‘strategies’ appeared here. There are strategies mentioned throughout the workshop.

[12] I talked about breaking writing activities up into manageable tasks – not sessions.

[13] I didn’t say this and it is certainly not a summary point. The reference to short sessions was in relation to a specific obstacle that was being discussed earlier.

[14] This is one of the very few, meaningful and accurate summary sentences. The colloquial use of ‘diving’ here is also good.

[15] I did not talk about project objectives. I made a clear distinction between a project’s aim and a project’s objectives. In this workshop I talked about project problems, aims and methods, not project objectives. By interchanging the use of different terms, this particular error clearly shows that Zoom’s AI Companion is drawing it’s information (language) from outside what was presented within the workshop.

[16] As I pointed out previously, not only did Zoom’s AI Companion not include the 5 steps, it incorrectly paraphrased them and left one out altogether.

[17] This is not a summary point but a comment, taken out of context, made in relation to a PhD student not thoroughly identifying their target audience when writing research papers.

[18] Another example of taking a comment and putting it with a different sentence about a different topic. ‘The problem to be solved’ was something I discuss in relation to the ‘define the aim’ exercise and not in relation to identifying the target audience.

[19] I did not introduce this exercise as part of the workshop. This exercise was only mentioned briefly for reference purposes. Instead, it omitted the key exercise that was presented for Step 3 - the ‘Define your Aim’ exercise that was referred to many times.

[20] This is another vague generalisation. I showed them how to apply the concepts with the use of an exercise.

[21] Once again, AI is struggling to come up with meaningful headings.

[22] They were not asked to ‘reflect’ on anything but to give a direct answer to a direct question.

[23] This heading is out of place and there was no such workshop. I later refer to an online course I offer which has a specific title, ‘How to be an Efficient Science Writer’. AI has paraphrased this title and added  ‘workshop’ and used it as heading to describe the last part of the current workshop summary. 

[24] It completely left out the workshop conclusion and follow-up instructions.

In conclusion....

I won't be using the AI Companion feature anytime soon. I will continue my critique of the use of AI for writing, summarising and generating ideas. If you have any of your own examples you would like to share with me, or if you have any suggestions or comments please email admin@writingclearscience.com.au. 

If you want to be kept up-to-date on future blogs on on this and other science writing topics, or if you want to hear more about what I teach you can join my mailing list here.

© Dr Marina Hurley 2025 www.writingclearscience.com.au

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How to choose the right journal to publish your paper

How to choose the right
journal to publish your paper

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    Choosing the right journal is a crucial step in getting your paper successfully published. Where you publish is also important when establishing your career as a researcher and may improve your ability to attract funding. Choosing the right journal is an important part of the planning process when drafting your paper. Ideally, you should decide what journal you will submit to before you start writing, as each journal will have unique requirements and target different audiences.

    1. Create a draft list of journal titles that appear suitable at first glance

    Based upon your knowledge, advice from colleagues and word-of-mouth, create a draft list of 20-40 journal titles that appear suitable at first glance. You can also use search engines (e.g. ‘marine biology journals’) and journal finder tools and databases (e.g. Scopus). Also look in the reference lists of the papers that you read.  

    2. Define your publishing objectives and preferred journal's attributes

    In addition to simply wanting your paper to be published, you need to have clear objectives about how and where you want your work published. Determining how different journals can meet your objectives will help you decide what journal to choose. Having clear publishing objectives is also important if you are co-authoring a document.

    The following is a list of journal attributes that should be considered when working out your objectives:

    Does the journal meet your institutions’ or funding body’s guidelines?   

    Different universities, departments and other organisation will have guidelines and criteria for journal selection. For example, the Excellence in Research for Australia (ERA) is Australia’s national research evaluation framework and stipulate that research output must satisfy certain criteria, including the type of journal.

    Does your study subject and publication type meet the journal’s Aim and Scope?

    The journal's Aims and Scope gives an overview of what subject or topics they publish; for example, the Journal of Cell Science state that they  publish articles that cover a range of topics in cell biology and provide a full list of subject categories. The journal’s Aims and Scope also often outlines what types of papers they publish and their peer review policy. Other crucial information (e.g. page limits) will also be found in the Instructions to Authors.


    Consider the journal’s readership and target audience 

    Does the journal’s readership and target audience match the target audience of your paper? For example, if you have a multi-disciplinary project or topic, you might want to choose a multi-disciplinary journal (for example PLOS One).

    What is the journals’ Impact Factor?

    The impact factor of a journal is a high profile and controversial measure used to rank, evaluate and compare journals and is published in the Journal Citation Reports (JCR) by Clarivate Analytics. Clarivate Analytics defines impact factor as a “a measure of the frequency with which the “average article” in a journal has been cited in a particular year or period. The annual JCR impact factor is a ratio between citations and recent citable items published.”

    Is the journal indexed in well-known databases?

    Indexing refers to whether a journal is listed in databases and search engines well known within your discipline. If your journal of choice is indexed by a well-known database (for example Web of Science or PubMed), once your paper is published, both your journal and paper will be found within this database. Some databases only include abstracts, some include the entire paper and the citation index. Read more about indexing here.

    Do you agree with the journals peer-review policy?

    This information should be listed on their website, often under the Aims and Scope section. For example, the journal Trials uses an open review system.

    How long does the journal take to publish your paper?

    The time taken to review your document and notify you of acceptance or rejection will vary between journals and can be a source of frustration. Knowledge of the publishing process will help you determine when to expect to receive a response.  ‘The production process’ by Wiley clearly outlines the steps taken with their journals. Some journals take longer to release your paper after acceptance than others. Some journals can take up to three months

    Where do your peers publish?

    Your paper needs to be seen by your peers if it has any chance of being read and cited. Therefore, it should be published in the journals that they are likely to read. For example, if I were an active ecological researcher in Australia, I would consider publishing in Austral Ecology as it is well known and highly regarded.

    Check the journal’s reputation

    Only publish your paper in reputable journals. Early-career researchers might not be fully aware of fake or predatory journals that pretend to have a good reputation, accept your paper with minimal or no review and then charge you for submission. If you send a paper to a predatory journal, you might never hear from them again or ever see your paper in print. Think. Check. Submit is a system designed to help authors to identify trusted journals, including a check list to assess your chosen journals. 

    Does the journal charge fees for publishing your paper?

    Many journals not only charge for subscription and purchase of papers they publish, they also charge authors fees for publishing their papers after they have been accepted for publication.  Remember that your institution may already cover these charges. Read ‘Understanding Submission and Publication Fees’ for further background.  Even if a journal is open source, you many still need to pay article processing charges.

    3. Create a short-list of journals that meet your objectives

    Create a short-list of the journals that meet your objectives. Perhaps also compile a spreadsheet of your short-listed journals to easily compare different attributes. This spreadsheet can be updated when preparing your next publication.

    4. Once you have chosen the journal for submission, thoroughly review their requirements

    Read your chosen journal’s website meticulously, especially the Aims and Scope and the Instructions of Authors. A common reason for paper rejection or request for resubmission is that the author has not comprehensively followed these instructions. Without thorough investigation, you may overlook important aspects that will prevent you from getting your paper published and it is better to find this out before you go through the process of writing, formatting and submitting your paper.

    Finally...

    Don’t forget that if you are unsure about anything, contact the editor. Some journals have information about pre-submission enquires on their websites, while most will have online articles and guides to help you understand their requirements.

    © Dr Marina Hurley 2022 www.writingclearscience.com.au

    Any suggestions or comments please email admin@writingclearscience.com.au 

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