阅读科学论文的十条简单法则
下划线 = 中文容易"变味"或丢信息的词句:实线带编号 = 36 条注释卡(点击跳转);虚线 = 另有 1 处同样有损耗、未单列。译文之后附完整英文原文
作者:Maureen A. Carey、Kevin L. Steiner、William A. Petri Jr.(保留原名,不音译)
出处:PLoS 计算生物学(PLoS Computational Biology)2020;16(7):e1008032
DOI:10.1371/journal.pcbi.1008032
PMCID:PMC7392212
译自英文原题:Ten simple rules for reading a scientific paper
摘要
说明:所据英文原文无独立摘要节,正文自“引言”直接开篇;为不增补原文所无的内容,此处不设摘要译文。
引言
作家埃莉诺·布朗(Eleanor Brown)有言:“没有一张借书证解决不了的问题。”[1] 这条建议很在理,对生活与科研大概都适用;但即便是最好的工具(比如图书馆),也要配上使用说明、并对“怎么用、什么时候用”有基本的了解,才最能发挥作用。
对许多初出茅庐的科研人来说,进入一个新实验室的第一天,往往伴随着一摞论文、一封塞满相关文章链接的邮件,或者一句“只要读够文献,就能懂得更多”的许诺。然而,阅读一篇科学文章的目的与方法,与读一则新闻、一部小说、甚至一本教科书都不同,一开始常显得无从下手。养成良好的文献阅读习惯,是让自己走上成功轨道、发现新的研究问题、填补当前理解空白的关键;而养成这些好习惯,正是至关重要的第一步。
常见的建议大多围绕两条要诀:主动地读,经常地读。然而,所谓主动阅读——即带着理解的目的去读——既是一项需要习得的技能,也是一种投入程度上的要求。尽管此事没有唯一的最佳做法,我们仍基于自己作为读者、以及作为本科生与研究生科研人员、医学生、专科培训医师(fellow)和青年教师的导师的经验,提出 10 条简单法则,讲解我们这套主动阅读策略;这些法则对新手和资深科学家同样适用。法则 1–5 是整体层面的建议。法则 6–8 关乎阅读的“心法”(philosophy of reading)。法则 9–10 指导“然后呢?”这类问题——即读完之后应当追问什么,以及如何把所学融入自己的科研。
法则 1:选定你的阅读目标
你希望从一篇文章中得到什么,应当影响你阅读它的方式。表 1 列出了几种示例性的阅读意图(intention),并说明:作为读者,你的目标会如何让你对同一篇文章的不同部分排出不同的优先次序。
表 1 阅读意图,以及它可能如何影响你的读法。
| 示例 | 意图 | 优先关注 |
|---|---|---|
| 1 | 你刚开始读科学论文。1 | 对每一张图的每一个分图(panel),特别关注法则 3 所列出的那些问题。 |
| 2 | 你正进入一个新领域,想了解这个领域里什么才是重要的。 | 重点关注开头(引言中呈现的研究动机)与结尾(结论中呈现的下一步方向)。 |
| 3 | 你收到自动推送,提醒你某位作者有了最新论文——这位作者的工作激励着你;你希望在下一阶段的科研生涯中与之合作,因此想了解对方在做些什么。 | 把整篇工作通读一遍,思考它如何嵌入该作者更宏观的论文谱系。 |
| 4 | 你收到自动推送,提醒你出现了包含某组关键词的最新论文,因为你想了解某项技术正被应用的新方式,或者某个主题、某个研究领域的新进展。 | 重点关注方法部分做了什么,以及采取该路径的动机;后者通常在引言中呈现。 |
| 5 | 你被要求在论文发表之前审稿,以评估工作质量,或者要在期刊俱乐部(journal club)上做报告。2 | 同示例 1。此外还要问:数据支持这些解释吗?存在哪些替代解释?数据的呈现方式是否合乎逻辑,使众多研究者都能看懂?如果研究涉及有争议的话题,作者是否恰当地呈现了冲突,并避免让自己的偏见影响解释? |
法则 2:理解作者的目标
在书面交流中,读者与作者同等重要。二者共同影响最终的结果——在这里,就是你对科学的理解!在明确了自己的目标之后,再想一想作者分享这项工作时的目标。这有助于你解读数据,也有助于你理解作者对数据的解读。不过,这要求你对以下几方面有所了解:作者是谁(例如,他们的科学兴趣是什么?)、他们工作所在的科学领域(例如,这个领域里有哪些可用的技术?),以及这篇论文嵌在作者研究脉络的什么位置(例如,这项工作是在某位作者长期的课题或某个有争议的想法之上继续推进吗?)。没有经验、没有阅读积累,这些信息可能很难捕捉到。但不要因此就不敢开始——恰恰是通过阅读这个动作,这些经验才能被获得!
要理解作者的目标,一个不错的起步方式是问自己:这是哪一类文章?期刊会发表不同类型的文章,包括方法类(methods)、综述类(review)、评论类(commentary)、资源类(resources)和研究类(research)文章,以及某些特定期刊或期刊群所专有的其他类型。这些文章类型在格式要求和对内容的期待上各不相同。知道文章类型,有助于为你的信息评估指明方向。这篇文章是一篇方法论文,提出一项新技术吗?是一篇综述文章,意在总结某个领域或某个问题吗?是一篇评论,意在就某个争议表明立场,或就某个问题给出宏观视角吗?是一篇资源类文章,为他人提供新的工具或数据集吗?是一篇研究论文,写来呈现新数据以及作者对这些数据的解读吗?文章的类型及其预期用途,会带你走上理解作者目标的路。
法则 3:问六个问题
阅读时,问自己:(1)作者想弄清什么(动机)?(2)他们做了什么(路径/方法)?(3)为什么用那种方式做(在领域内的脉络)?(4)结果显示出什么(图与数据表)?(5)作者如何解读结果(解释/讨论)?(6)接下来应该做什么?(关于最后一个问题,作者可能会在讨论部分给出一些建议,但关键在于:你自己认为接下来该做什么。)
这六个问题,既可以、也应当针对整篇工作提出,同时也要针对论文中的每一张表、每一张图、每一个实验提出。刚开始时,把一篇文章从头读到尾可能要花很长时间,这会令人望而生畏。用这些问题把对每一部分的理解拆开来,能让这份努力变得更容易掌控。
法则 4:把每张图、每张表拆开来看
科学家撰写原创研究论文,主要是为了呈现可能改变或强化某一领域集体知识的新数据。因此,这类科学论文中最重要的部分就是数据。有些人喜欢在读任何“正文”之前,先仔细审视图与表(包括图例,即 legend):因为所有重要信息都应当能从数据中获得。另一些人则喜欢一边读结果部分,一边按文中述及的顺序逐一查看相应的图和表。没有正确或错误的方法:两种都试一试,看哪种最适合你。关键在于确保自己理解了所呈现的数据,以及这些数据是如何获得的。
对每一张图,努力弄懂它的横轴与纵轴、配色方案、统计方法(如果用过的话),以及为什么采用那种特定的作图方式。对每一张表,辨明它呈现了哪些实验组与变量。辨明展示的是什么,以及数据是如何收集的。这些通常会在图例或图注中作概述,但往往需要进一步深挖方法部分:不要害怕频繁回看方法部分,以确保完全理解所呈现的数据是怎样获得的。再次强调:对每一张图或每一个分图,都用法则 3 的问题去问,最后用一句话说出“带走的信息”(take home message)。
法则 5:理解各部分的格式意图
正如文章的整体意图(法则 2 中讨论过)一样,研究论文中每一小节的意图也能为你的解读提供指引。有些小节意在写成对数据的客观描述(即结果部分),而另一些小节的意图则是呈现作者对数据的解释。但请记住,即便是“客观”的小节,也是由作者写成的,因而会受作者解释的影响。看看表 2,可以了解研究论文每一小节的意图。读某篇具体论文时,你也可以查阅期刊官网来了解格式意图。网站的“供作者”(For Authors)栏目会包含一些对读者而言不太相关的琐碎信息(比如字数限制),但也会概述期刊编辑对每一小节的期待。这有助于你熟悉论文各小节的目的。
表 2 一篇原始研究论文的结构。
| 小节 | 内容 |
|---|---|
| 标题 | 按作者的说法,整个工作“带走的信息”。 |
| 作者列表 | 这些人为该项目做出了重要的科学贡献。不同学科对作者排序的惯例不同。例如,作为生物医学领域的一条通则,第一作者主导了项目的实施,末位作者则是该项目的主要导师(supervisor)。 |
| 摘要 | 对研究问题、路径、结果与解释的简要概述。这是一篇文章的路线图,或者说“电梯陈述”(elevator pitch)。 |
| 引言 | 用几段(或更少)文字呈现研究问题及其重要性。初入该领域的人应当能从这一节得到该领域的速成课(crash course)。 |
| 方法 | 做了什么?怎么做的?理想情况下,读方法部分应当能复现一个项目。现实中,方法部分常被过度压缩。有时更详细的细节会放在在线可得的“补充”(Supplemental)部分(见下文)。 |
| 结果 | 发现了什么?这些段落常以这样一句话开头:“为了做 X,我们用路径 Y 测量了 Z。”结果应当是客观的观察。 |
| 图、表、图例与图注 | 数据以图和表的形式呈现。图例与图注提供必要信息,如缩写、方法概述和澄清说明。 |
| 讨论 | 结果意味着什么?它们与文献中既往的发现有何关联?这是作者对结果的观点,以及他们对恰当的后续步骤的想法。它常常会描述本研究的若干(往往不是全部!)优势与局限:请留意作者这种自我反思,并想一想你是否同意,或者有想补充的。 |
| 结论 | 对结果之含义的简要总结。 |
| 参考文献 | 一份已发表论文、数据集或数据库的清单,这些是本项目的实施或数据的解读所必需的。这一节也可能是宝贵的资源,列出了该领域内值得一读的重要论文。 |
| 补充材料 | 为支持讨论中呈现的结果或解释所必需的额外方法、结果或信息。 |
| 补充数据 | 因过大或过于繁琐而无法纳入论文的必需数据集。尤其对于包含“大数据”(如测序或建模结果)的论文,真正的原始数据常常在这里呈现。 |
法则 6:保持批判
已发表的论文不是刻在石头上的真理。发表在高影响因子期刊上的论文不是刻在石头上的真理。由领域内大牛发表的论文不是刻在石头上的真理。看上去与你自己的假设或数据相符的论文,不是刻在石头上的。看上去驳倒你的假设或数据的论文,也不是刻在石头上的。
科学是一项永无止境、不断进行中的工作;读者必须对作者的解释顶回去,以检验其结论的强度。每个人都有自己的视角,可能以不同方式解读同样的数据。错误有时确实会被发表,但更常见的是:这些表面上的错误源于其他因素,例如方法的局限性,以及其他限制可推广性(generalizability)的因素(选择偏倚、未被处理或未被认识到的混杂因素)。读一篇论文时,重要的一点是思考这些因素是否切题。
批判性思维是一门难学的技能,但归根结底,它就是在评估数据的同时尽量减少偏见。问自己:对所观察到的现象,是否存在其他同样可能的解释?除了密切关注研究或作者可能存在的偏见之外,读者还应当警觉自己先入为主的视角(以及偏见)。花点时间问自己:我觉得这篇论文有说服力,是不是因为它印证了我本来就认为(或希望)为真的事?又或者,我是在贬低他们的发现,只因它与我预期不同、或与我自己的工作不同?
自我实现的预言(self-fulfilling prophecy),或称“期望效应”(expectancy),这一现象在心理学文献中研究得很充分[2],也是许多研究以“盲法”(blinded)进行的原因[3]。它指的是这样一种观念:一个人可能认定某事为真,而其随之而来的行为会对齐,使这件事果然成真。换句话说,作为人、也作为科学家,我们常常恰好在找什么,就找到什么。一位科学家可能只检验自己的假设,而不去评估替代假设;也许,这位科学家并不知道还有其他偏见更少的方式可以检验其假设——而这样的方式在其他领域是常用的。生活、学业与工作经历各不相同的人,可能会想到若干个替代假设,它们全都同样得到数据的支持。
法则 7:保持善意
作者也是人。所以,只要可能,就多往好处想(give them the benefit of the doubt)。作者写某个短语的方式可能与你不同,逼你重读一遍句子才懂。你领域里的某个人,可能因参考文献数量限制而漏引了你的论文。某个分图可能被误引为“补充图 3E”,而它显然是“补充图 4E”。这些事可能令人沮丧,但没有一件表明工作质量差。尽量避免让这些小事影响你对这项工作的评价与解读。
同样地,如果你打算把自己的批评讲给他人,请格外友善。一位作者(尤其是主要作者,即 lead author)可能把数年的时间投入在一篇论文里。听到措辞友善的批评,可能依然难受,但有建设性。听到粗鲁、生硬或恶意的批评,则可能令人心碎——对年轻科学家尤其如此,对那些正试图在一个领域里确立自己的位置、并且可能担心自己并不属于这里的人,也是如此。
法则 8:准备好多走一里路
要真正理解一项科学工作,你常常需要查一个术语、深挖补充材料,或者读一篇乃至数篇被引的参考文献。这个过程需要时间。有些导师建议把一篇文章读三遍:第一遍,就单纯地读,不要背着“必须读懂”或“必须批判”的压力;第二遍,以读懂这篇文章为目标;第三遍,做笔记。
有些人靠把论文打印出来、在上面写满东西来与论文打交道。读者可能会在页边写问号,标记自己想回头再看的地方;圈出不熟悉的术语(然后真的去查!);高亮或划线标出重要陈述;画箭头把图与讨论部分中相应的解释连起来。并非每个人都需要一份纸质版才能投入阅读过程;但无论你的“打印出来”是哪种形式,去做就是了。
法则 9:讲出来
在期刊俱乐部或更非正式的场合谈论一篇文章,会迫使你主动阅读、真正参与到材料之中。研究表明,教学是最好的学习方式之一;而且随着教学任务变得更复杂,教师对材料的掌握甚至更好[4–5];据轶事性观察,正是这类观察催生了“教一遍等于学两遍”这句话。
除了期刊俱乐部、实验室组会、学术课程这类正式场合之外,也要与你的同辈、导师和同事当面或通过电子方式讨论论文。Twitter 及其他社交媒体平台已成为绝佳的资源,可供你与其他科学家、公众或你那些不做科研的朋友、甚至与论文作者本人讨论论文。描述一篇论文可以在多个层面上进行:你的描述可以包含全部科学细节,也可以只给宏观总结,或者谈谈它对你所在社区的普通人意味着什么。所有这些描述都会巩固你的理解,同时凸显你知识中的空白,并让你周围的人也有所了解。
法则 10:在它之上继续搭建
我们喜欢用这样一种方式来讲述“我们如何在前人文献之上继续搭建”:在研究汇报的开头放一张图,画的是一堵乐高积木墙。每块积木都标着一篇论文的参考文献信息,这堵墙就凸显了该工作所依托的文献总体。我们会描述每块带标签的积木所代表论文的工作与结论,并讨论每一块积木以及整堵墙的情况。墙最顶上那块积木留空:我们渴望在这项工作之上继续搭建,并用我们自己的工作来标记这块积木。随后我们深入讲自己的研究、发现以及它引出的结论。汇报结束时,我们再回到那张乐高图,把整场汇报总结到那块空积木上。
无论你读一篇文章是为了了解一个新的主题领域,还是为了推进一个研究项目,有效的学习都要求你把来自多个来源的知识整合起来(让那些乐高积木“咔哒”一声拼在一起),并向上搭建。善用已发表的工作,能让你搭出更坚固、更高的结构。第二层积木一旦拼在第一层之上,第一层就更稳固了,如此层层向上。此外,如果你在他人的工作之上搭建,而不是只用自己手里的积木,这座乐高建筑会变得更高、更大。
在你读过的那篇文章之上继续搭建:思考它如何与其他论文所述的想法相连、如何与你自己的工作相连;把某项技术用到你自己的研究里;或者尝试用更广泛的文献综述去挑战或支持作者的假设。把从一篇文章中学到的技术与科学结论,整合进你自己的研究,或整合进你在课堂与实验室中的视角。你可能会发现,这个过程强化了你的理解,把你引向新的、意想不到的兴趣或研究问题,或者把你带回最初那篇文章——带着新的问题和对这项工作的批评。所有这些体验都是“主动阅读”过程的一部分,也是阅读体验成功的标志。
总之,练习这些法则,学会如何阅读一篇科学论文,同时记住:随着经验积累,这个过程会变得更容易(也更快)。我们坚信,在图书馆里花一小时,能省下在实验台前的一周;这种勤勉的练习最终会让你成为一位既有学识、又更高产的科学家。在培养自己读论文的技能时,也试着为自己(相关的两条建议分别见[6]和[7])和他人培养良好的阅读与学习习惯。祝你好运,阅读愉快!
致谢
感谢那些塑造了我们对阅读、学习以及“科学究竟为何物”之看法的导师、老师与学生。
基金声明
MAC 得到美国药品研究与制造商协会基金会(PhRMA Foundation)转化医学与治疗学博士后奖学金(Postdoctoral Fellowship in Translational Medicine and Therapeutics)以及弗吉尼亚大学(University of Virginia)“医学中的工程”种子基金(Engineering-in-Medicine seed grant)的支持;KLS 得到弗吉尼亚大学美国国立卫生研究院(NIH)T32“全球生物威胁”培训项目(Global Biothreats Training Program,AI055432)的支持。资助方在研究设计、数据收集与分析、发表决定或稿件撰写中均无任何角色。
参考文献
注:参考文献为著录信息,按学术惯例保留英文原文,见文末附录。
▲ 本部分翻译难点(对照学习用)
附录 · 英文原文
Ten simple rules for reading a scientific paper
Authors: Carey Maureen A; Steiner Kevin L; Petri William A; Markel Scott
Journal: PLoS Computational Biology 2020;16(7):e1008032 DOI: 10.1371/journal.pcbi.1008032 PMCID: PMC7392212
Introduction
“There is no problem that a library card can't solve” according to author Eleanor Brown [1]. This advice is sound, probably for both life and science, but even the best tool (like the library) is most effective when accompanied by instructions and a basic understanding of how and when to use it.
For many budding scientists, the first day in a new lab setting often involves a stack of papers, an email full of links to pertinent articles, or some promise of a richer understanding so long as one reads enough of the scientific literature. However, the purpose and approach to reading a scientific article is unlike that of reading a news story, novel, or even a textbook and can initially seem unapproachable. Having good habits for reading scientific literature is key to setting oneself up for success, identifying new research questions, and filling in the gaps in one’s current understanding; developing these good habits is the first crucial step.
Advice typically centers around two main tips: read actively and read often. However, active reading, or reading with an intent to understand, is both a learned skill and a level of effort. Although there is no one best way to do this, we present 10 simple rules, relevant to novices and seasoned scientists alike, to teach our strategy for active reading based on our experience as readers and as mentors of undergraduate and graduate researchers, medical students, fellows, and early career faculty. Rules 1–5 are big picture recommendations. Rules 6–8 relate to philosophy of reading. Rules 9–10 guide the “now what?” questions one should ask after reading and how to integrate what was learned into one’s own science.
Rule 1: Pick your reading goal
What you want to get out of an article should influence your approach to reading it. Table 1 includes a handful of example intentions and how you might prioritize different parts of the same article differently based on your goals as a reader.
Table 1 Reading intentions and how it might influence your approach.
| Examples | Intention | Priorities |
|---|---|---|
| 1 | You are new to reading scientific papers.1 | For each panel of each figure, focus particularly on the questions outlined in Rule 3. |
| 2 | You are entering a new field and want to learn what is important in that field. | Focus on the beginning (motivation presented in the introduction) and the end (next steps presented in the conclusion). |
| 3 | You receive automated alerts to notify you of the latest publication from a particular author whose work inspires you; you are hoping to work with them for the next phase of your research career and want to know what they are involved in. | Skim the entire work, thinking about how it fits into the author’s broader publication history. |
| 4 | You receive automated alerts to notify you of the latest publication containing a set of keywords because you want to be aware of new ways a technique is being applied or the new developments in a particular topic or research area. | Focus on what was done in the methods and the motivation for the approach taken; this is often presented in the introduction. |
| 5 | You were asked to review an article prior to publication to evaluate the quality of work or to present in a journal club.2 | Same as example 1. Also, do the data support the interpretations? What alternative explanations exist? Are the data presented in a logical way so that many researchers would be able to understand? If the research is about a controversial topic, do the author(s) appropriately present the conflict and avoid letting their own biases influence the interpretation? |
Rule 2: Understand the author’s goal
In written communication, the reader and the writer are equally important. Both influence the final outcome: in this case, your scientific understanding! After identifying your goal, think about the author’s goal for sharing this project. This will help you interpret the data and understand the author’s interpretation of the data. However, this requires some understanding of who the author(s) are (e.g., what are their scientific interests?), the scientific field in which they work (e.g., what techniques are available in this field?), and how this paper fits into the author’s research (e.g., is this work building on an author’s longstanding project or controversial idea?). This information may be hard to glean without experience and a history of reading. But don’t let this be a discouragement to starting the process; it is by the act of reading that this experience is gained!
A good step toward understanding the goal of the author(s) is to ask yourself: What kind of article is this? Journals publish different types of articles, including methods, review, commentary, resources, and research articles as well as other types that are specific to a particular journal or groups of journals. These article types have different formatting requirements and expectations for content. Knowing the article type will help guide your evaluation of the information presented. Is the article a methods paper, presenting a new technique? Is the article a review article, intended to summarize a field or problem? Is it a commentary, intended to take a stand on a controversy or give a big picture perspective on a problem? Is it a resource article, presenting a new tool or data set for others to use? Is it a research article, written to present new data and the authors’ interpretation of those data? The type of paper, and its intended purpose, will get you on your way to understanding the author’s goal.
Rule 3: Ask six questions
When reading, ask yourself: (1) What do the author(s) want to know (motivation)? (2) What did they do (approach/methods)? (3) Why was it done that way (context within the field)? (4) What do the results show (figures and data tables)? (5) How did the author(s) interpret the results (interpretation/discussion)? (6) What should be done next? (Regarding this last question, the author(s) may provide some suggestions in the discussion, but the key is to ask yourself what you think should come next.)
Each of these questions can and should be asked about the complete work as well as each table, figure, or experiment within the paper. Early on, it can take a long time to read one article front to back, and this can be intimidating. Break down your understanding of each section of the work with these questions to make the effort more manageable.
Rule 4: Unpack each figure and table
Scientists write original research papers primarily to present new data that may change or reinforce the collective knowledge of a field. Therefore, the most important parts of this type of scientific paper are the data. Some people like to scrutinize the figures and tables (including legends) before reading any of the “main text”: because all of the important information should be obtained through the data. Others prefer to read through the results section while sequentially examining the figures and tables as they are addressed in the text. There is no correct or incorrect approach: Try both to see what works best for you. The key is making sure that one understands the presented data and how it was obtained.
For each figure, work to understand each x- and y-axes, color scheme, statistical approach (if one was used), and why the particular plotting approach was used. For each table, identify what experimental groups and variables are presented. Identify what is shown and how the data were collected. This is typically summarized in the legend or caption but often requires digging deeper into the methods: Do not be afraid to refer back to the methods section frequently to ensure a full understanding of how the presented data were obtained. Again, ask the questions in Rule 3 for each figure or panel and conclude with articulating the “take home” message.
Rule 5: Understand the formatting intentions
Just like the overall intent of the article (discussed in Rule 2), the intent of each section within a research article can guide your interpretation. Some sections are intended to be written as objective descriptions of the data (i.e., the Results section), whereas other sections are intended to present the author’s interpretation of the data. Remember though that even “objective” sections are written by and, therefore, influenced by the authors interpretations. Check out Table 2 to understand the intent of each section of a research article. When reading a specific paper, you can also refer to the journal’s website to understand the formatting intentions. The “For Authors” section of a website will have some nitty gritty information that is less relevant for the reader (like word counts) but will also summarize what the journal editors expect in each section. This will help to familiarize you with the goal of each article section.
Table 2 The structure of a primary research article.
| Section | Content |
|---|---|
| Title | The “take home” message of the entire project, according to the authors. |
| Author list | These people made significant scientific contributions to the project. Fields differ in the standard practice for ordering authors. For example, as a general rule for biomedical sciences, the first author led the project’s implementation, and the last author was the primary supervisor to the project. |
| Abstract | A brief overview of the research question, approach, results, and interpretation. This is the road map or elevator pitch for an article. |
| Introduction | Several paragraphs (or less) to present the research question and why it is important. A newcomer to the field should get a crash course in the field from this section. |
| Methods | What was done? How was it done? Ideally, one should be able to recreate a project by reading the methods. In reality, the methods are often overly condensed. Sometimes greater detail is provided within a “Supplemental” section available online (see below). |
| Results | What was found? Paragraphs often begin with a statement like this: “To do X, we used approach Y to measure Z.” The results should be objective observations. |
| Figures, tables, legends, and captions | The data are presented in figures and tables. Legends and captions provide necessary information like abbreviations, summaries of methods, and clarifications. |
| Discussion | What do the results mean and how do they relate to previous findings in the literature? This is the perspective of the author(s) on the results and their ideas on what might be appropriate next steps. Often it may describe some (often not all!) strengths and limitations of the study: Pay attention to this self-reflection of the author(s) and consider whether you agree or would add to their ideas. |
| Conclusion | A brief summary of the implications of the results. |
| References | A list of previously published papers, datasets, or databases that were essential for the implementation of this project or interpretation of data. This section may be a valuable resource listing important papers within the field that are worth reading as well. |
| Supplemental material | Any additional methods, results, or information necessary to support the results or interpretations presented in the discussion. |
| Supplemental data | Essential datasets that are too large or cumbersome to include in the paper. Especially for papers that include “big data” (like sequencing or modeling results), this is often where the real, raw data is presented. |
Rule 6: Be critical
Published papers are not truths etched in stone. Published papers in high impact journals are not truths etched in stone. Published papers by bigwigs in the field are not truths etched in stone. Published papers that seem to agree with your own hypothesis or data are not etched in stone. Published papers that seem to refute your hypothesis or data are not etched in stone.
Science is a never-ending work in progress, and it is essential that the reader pushes back against the author’s interpretation to test the strength of their conclusions. Everyone has their own perspective and may interpret the same data in different ways. Mistakes are sometimes published, but more often these apparent errors are due to other factors such as limitations of a methodology and other limits to generalizability (selection bias, unaddressed, or unappreciated confounders). When reading a paper, it is important to consider if these factors are pertinent.
Critical thinking is a tough skill to learn but ultimately boils down to evaluating data while minimizing biases. Ask yourself: Are there other, equally likely, explanations for what is observed? In addition to paying close attention to potential biases of the study or author(s), a reader should also be alert to one’s own preceding perspective (and biases). Take time to ask oneself: Do I find this paper compelling because it affirms something I already think (or wish) is true? Or am I discounting their findings because it differs from what I expect or from my own work?
The phenomenon of a self-fulfilling prophecy, or expectancy, is well studied in the psychology literature [2] and is why many studies are conducted in a “blinded” manner [3]. It refers to the idea that a person may assume something to be true and their resultant behavior aligns to make it true. In other words, as humans and scientists, we often find exactly what we are looking for. A scientist may only test their hypotheses and fail to evaluate alternative hypotheses; perhaps, a scientist may not be aware of alternative, less biased ways to test her or his hypothesis that are typically used in different fields. Individuals with different life, academic, and work experiences may think of several alternative hypotheses, all equally supported by the data.
Rule 7: Be kind
The author(s) are human too. So, whenever possible, give them the benefit of the doubt. An author may write a phrase differently than you would, forcing you to reread the sentence to understand it. Someone in your field may neglect to cite your paper because of a reference count limit. A figure panel may be misreferenced as Supplemental Fig 3E when it is obviously Supplemental Fig 4E. While these things may be frustrating, none are an indication that the quality of work is poor. Try to avoid letting these minor things influence your evaluation and interpretation of the work.
Similarly, if you intend to share your critique with others, be extra kind. An author (especially the lead author) may invest years of their time into a single paper. Hearing a kindly phrased critique can be difficult but constructive. Hearing a rude, brusque, or mean-spirited critique can be heartbreaking, especially for young scientists or those seeking to establish their place within a field and who may worry that they do not belong.
Rule 8: Be ready to go the extra mile
To truly understand a scientific work, you often will need to look up a term, dig into the supplemental materials, or read one or more of the cited references. This process takes time. Some advisors recommend reading an article three times: The first time, simply read without the pressure of understanding or critiquing the work. For the second time, aim to understand the paper. For the third read through, take notes.
Some people engage with a paper by printing it out and writing all over it. The reader might write question marks in the margins to mark parts (s)he wants to return to, circle unfamiliar terms (and then actually look them up!), highlight or underline important statements, and draw arrows linking figures and the corresponding interpretation in the discussion. Not everyone needs a paper copy to engage in the reading process but, whatever your version of “printing it out” is, do it.
Rule 9: Talk about it
Talking about an article in a journal club or more informal environment forces active reading and participation with the material. Studies show that teaching is one of the best ways to learn and that teachers learn the material even better as the teaching task becomes more complex [4–5]; anecdotally, such observations inspired the phrase “to teach is to learn twice.”
Beyond formal settings such as journal clubs, lab meetings, and academic classes, discuss papers with your peers, mentors, and colleagues in person or electronically. Twitter and other social media platforms have become excellent resources for discussing papers with other scientists, the public or your nonscientist friends, or even the paper’s author(s). Describing a paper can be done at multiple levels and your description can contain all of the scientific details, only the big picture summary, or perhaps the implications for the average person in your community. All of these descriptions will solidify your understanding, while highlighting gaps in your knowledge and informing those around you.
Rule 10: Build on it
One approach we like to use for communicating how we build on the scientific literature is by starting research presentations with an image depicting a wall of Lego bricks. Each brick is labeled with the reference for a paper, and the wall highlights the body of literature on which the work is built. We describe the work and conclusions of each paper represented by a labeled brick and discuss each brick and the wall as a whole. The top brick on the wall is left blank: We aspire to build on this work and label this brick with our own work. We then delve into our own research, discoveries, and the conclusions it inspires. We finish our presentations with the image of the Legos and summarize our presentation on that empty brick.
Whether you are reading an article to understand a new topic area or to move a research project forward, effective learning requires that you integrate knowledge from multiple sources (“click” those Lego bricks together) and build upwards. Leveraging published work will enable you to build a stronger and taller structure. The first row of bricks is more stable once a second row is assembled on top of it and so on and so forth. Moreover, the Lego construction will become taller and larger if you build upon the work of others, rather than using only your own bricks.
Build on the article you read by thinking about how it connects to ideas described in other papers and within own work, implementing a technique in your own research, or attempting to challenge or support the hypothesis of the author(s) with a more extensive literature review. Integrate the techniques and scientific conclusions learned from an article into your own research or perspective in the classroom or research lab. You may find that this process strengthens your understanding, leads you toward new and unexpected interests or research questions, or returns you back to the original article with new questions and critiques of the work. All of these experiences are part of the “active reading”: process and are signs of a successful reading experience.
In summary, practice these rules to learn how to read a scientific article, keeping in mind that this process will get easier (and faster) with experience. We are firm believers that an hour in the library will save a week at the bench; this diligent practice will ultimately make you both a more knowledgeable and productive scientist. As you develop the skills to read an article, try to also foster good reading and learning habits for yourself (recommendations here: [6] and [7], respectively) and in others. Good luck and happy reading!
Acknowledgments
Thank you to the mentors, teachers, and students who have shaped our thoughts on reading, learning, and what science is all about.
Funding Statement
MAC was supported by the PhRMA Foundation's Postdoctoral Fellowship in Translational Medicine and Therapeutics and the University of Virginia's Engineering-in-Medicine seed grant, and KLS was supported by the NIH T32 Global Biothreats Training Program at the University of Virginia (AI055432). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
References
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