![]() Then, this value is subtracted from 100%, which displays the percentage of the location you want (100% - 54.1% = 45.9%). Without releasing the mouse button, when the measurement line is in the location you want, a percentage value is shown alongside the size (in Figure 1F this percentage is 54.1). During dragging, a percentage of Y is shown, which displays the distance from the horizontal ruler the beginning of the y-axis is 100% and the top of the y-axis is 0%. Creating a horizontal measurement line and finding the required number: Click on the horizontal ruler and drag down on your chart. Choosing percent unit from context menu: Right click on the ruler → “ Percent” ( Figure 1E).Ħ. Activating rulers: " View" menu → " Rulers" ( Figure 1D).įor activating rulers, pressing Ctrl + R also appears a ruler along the top and along the left hand side of the Photoshop canvas.ĥ. This action is used to prevent further movement of the graph during the next process.Ĥ. Locking the layer: “ Layer” panel → “ Lock” ( Figure 1C). It should be noted that cropping the chart has to be done carefully and the frame of the chart, exactly from beginning to end of the “y-axis” which displays a value (in Figure 1B this value is 400), should be selected.ģ. Cropping the chart: “ Image” menu → “ Crop” → press “ Enter” to confirm the action ( Figure 1B).įor cropping, the rectangular marquee tool from the tool panel can also be used. Opening the file in Adobe Photoshop: “ File” menu → “ Open” → select the image file → “ Open” button ( Figure 1A).Ģ. The ruler tool in Adobe Photoshop is used to extract data the steps are shown below:ġ. Here, we have described a simple method for extracting data from graphs using Adobe Photoshop.Ģ. In these cases, extracting the data from published graphs is a reasonable alternative. Contacting the authors in order to retrieve the data may take a long time and is often not very fruitful, because the research may have been performed so far in the past. On the other hand, disregarding such data may result in publication bias when conducting a meta-analysis. In meta-analyses, extraction of numerical data from graphs is commonly required it is however a challenging issue. Graphs/figures are non-textual elements of the results section of a paper that present important messages of the research ( 5). In general, results obtained from such meta-analyses may provide a more accurate representation of the effect of a particular treatment for a disease compared to any single trial that contributed to the pooled analysis ( 2). ![]() Meta-analysis integrates the results of several independent studies to derive conclusions about that particular body of research ( 4). It is often impossible for readers to pinpoint and review all of the primary studies, therefore narrative reviews, meta-analyses, and systematic reviews are valuable resources of the summarized evidence on a particular topic ( 3). With such a huge number of publications, both clinicians and researchers need to choose the most worthwhile studies for providing complete and accurate answers to formulated questions ( 2). ![]() In biomedical sciences, there are currently > 24 million citations in the MEDLINE database alone ( 1). Science has become a highly specialized endeavor and the total number of published papers has dramatically increased in the last decades. Here, we have described a simple reproducible method for extracting data from graphs using Adobe Photoshop.Īdobe Photoshop Data Extraction Graph Meta-Analysis. In this case, there are a few software and methods that may be used for data extraction however, using these software is costly and not simple as well as different types of graphs need different extraction methods. On the other hand, contacting the authors of a particular publication in order to retrieve the data may take a long time and is often not very fruitful. Since this kind of results presentation is common, ignorance of such data may result in publication bias when conducting meta-analyses. Extracting numerical data from graphs, which is commonly required in systematic reviews and meta-analyses, is however a challenging issue. Graphs, an effective form of data presentation, are used for summarizing complex information and making them easier to understand. ![]()
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