Mendeley Indicator Reports

Here are the steps necessary to collect Mendeley reader data and calculate a range of indicators for a collection of publications, including the Mean Normalised Log-transformed Citation Score (MNLCS) and the Normalised Proportion Cited (NPC).

  1. Step 1: Identify the group of publications to be assessed and categorise them by field (e.g., using Scopus or WoS subject categories).
  2. Step 2: Save the article information (authors, title, journal, publication year) in a standard tab-delimited format in a separate file for each subject category/year combination. First, discard publications that are in small subject/year combinations (e.g., <100 publications). Create tab-delimited files for the each subject/year. There should be one line per publication. Each line should contain the author names in standard format (following Scopus or Web of Science formats would be ideal), the publication year, the article title and the journal name (ignore this for books). The first line of the file should contain header information. Here is an example of the format for journal articles and for books. If your data is in a spreadsheet, it can be saved in this format using the Save As command and selecting the Plain text (tab delimited) format. The filename for each file must contain the subject name and year, and end with -[group].txt, where [group] should be replaced by a name for the collection of articles. The same [group] should be used for files containing publications from the same group. If the files are in Scopus of the Web of Science then choose the tab delimited format in which to save them.
  3. Step 3: For each retained subject/year combination, a benchmarking sample is needed of articles from the rest of the world. For this, download all articles from the Scopus/WoS (if possible) field/year or a large balanced sample (e.g., the first and last 5000 articles published in the category) for the world reference set. Filter out any large trade or art journals with a high proportion of uncited articles. Name the files using the standard Webometric Analyst naming convention so that each filename contains the subject name and year, and ends with -world.txt. These filenames must exactly match the group filenames, except for replacing -[group].txt with -world.txt. All of the files should be stored within a single folder that does not contain any other files. The figure below shows four years, three fields and three different groups (MRC, Wellcome and NIH) all in the correct filename format.
    1. Here is a small artificial example of a complete set of files, with all publications in a single file being from the same field and year.

  1. Step 4: There is no step 4 for Mendeley.
  2. Step 5: There is no step 5 for Mendeley.
  3. Step 6: Use Webometric Analyst to gather the Mendeley data. For, this, start Webometric Analyst, close the Startup Wizard, click the Mendeley tab, tick the box Repeat for all files in the same folder, click the Search for Publications (v1) button and select one of the group or world tab delimited files. Follow the instructions to enter a Mendeley key. This will create many extra files in the folder, an extract of which is shown below.
    1. Example of Mendeley output files.

  1. Step 7: Use Webometric Analyst to calculate MNLCS, EMNPC (NPC) and MNPC and confidence limits for both. For this, start Webometric Analyst, close the Startup Wizard and then select Calculate MNLCS, gMNCS and NPC for a set of Mendeley API results (structured file names) from the Reports menu. Select the folder containing all of the files, when requested. This will create two new files. The file called all_data.txt, contains all of the data extracted from the searches in a format that can be loaded into a stats package or spreadsheet. This is a backup file in case you want to calculate your own indicators. The file called report.txt contains MNLCS, gMNCS, EMNPC (NPC) and MNPC values for each individual file in a long list at the top. Near the end of the file it then reports tables of the combined MNLCS and NPC values for the whole collection. This is the main part of the results. Note that EMNPC is the new name for NPC.
  2. Step 8: If you want MNLCS, EMNPC (NPC) and MNPC calculated separately for each year, then create new folders, one for each year, and copy all the files from each year into the relevant year folder. Repeat the step above for each year folder.