Dates: 12-13 September 2019

Presentation files and data.

This year's Summer School has a session on calculating field normalised indicators for data.

Webometric Analyst has support for Dimensions format data too.

Alternative Indicators Summer School, Thursday 12 - Friday 13 September 2019

This course introduces methods to gather data from the web to create alternative research impact indicators, sometimes known as altmetrics. These indicators may help to evaluate the early scholarly impacts of academic research as well as its wider impacts. The course will discuss indicator formula including the Mean Normalised Citation Score (MNCS) and Mean Normalised Log Citation Score (MNLCS) that enable fair comparisons between articles published in different fields and years. The course will use the software Webometric Analyst to gather the data and create the web indicators. Data sources to be covered include scores, Mendeley reader counts and a range of web indicators.

Some attendees at the 2018 summer school produced this paper:

Zarrabeitia-Bilbao, E., Álvarez-Meaza, I., Río-Belver, R. M., & Garechana-Anacabe, G. (2019). Additive manufacturing technologies for biomedical engineering applications: Research trends and scientific impactEl profesional de la información (EPI)28(2).


Day 1: Theory. Room MI035. This will introduce the new theoretical model of alternative indicators and describe methods to evaluate indicators. Attendees have the option to submit a short abstract to give a short presentation on their own relevant work, if accepted. Day 1 is mainly aimed at active researchers (University of Wolverhampton, 10am-5pm).

Day 2: Practice. Room MI1035. This will start with an overview of a range of alternative indicators and will then introduce Webometric Analyst, a free software suite that gathers data for many alternative indicators and calculates advanced indicators for them. This will be followed by practical workshop sessions during which attendees will use the software to gather alternative indicator data and calculate and benchmark indicator values. This course will demonstrate how to gather and calculate indicators (benchmarked in the sense of field and year normalised) using free web-based data for commercial impact (patents), educational impact (syllabus mentions, PowerPoint mentions), informational impact (Wikipedia citations) and grey literature impact.'s free research data will also be mentioned. Attendees can bring their own data in order to calculate a range of web indicators for it on the day.

Folder with presentation files and data.

Up to two months before arriving please sign up for a free Bing Cognitive Services V7 key if you would like to try out the web citation searches (optional) and bring it with you. *Don't enter your credit card information.*

Dates: September 12 and 13, 2019 (Thursday and Friday).
Cost: Free
Location: University of Wolverhampton, in Wolverhampton city centre, UK. All sessions are in room MI035 in the corner opposite the main MI entrance on the ground floor of MI block in the Wolverhampton city centre campus. Please go to the main entrance in Wulfruna Street (MA block, City Campus South) and follow the signs to MI block. Interactive campus map.
Course lecturers: Mike Thelwall and Kayvan Kousha of the Statistical Cybermetrics Research Group at the University of Wolverhampton.
Recommended reading: Thelwall, M. (2017). Web indicators for research evaluation: A practical guide. San Rafael, CA: Morgan & Claypool. [An overview of all the steps needed from data collection to analysis and interpretation for web indicators, including practical advice.]

Computing and data: You will be provided with a Windows PC for the workshop but can choose to use your own Windows laptop if you prefer. Wolverhampton supports eduroam Wifi access. If you bring your own data (sets of records of research publications) then you will get the chance to use it.

Food: Please arrange your own food.

Application: Please email Mike Thelwall m dot thelwall at with your name, affiliation, and reason for attending (1 sentence). Include a title and 200 word abstract if you would like to make a brief presentation on day 1.

Accommodation: The cheapest option is probably the Redwings Lodge Hotel just round the corner (possibly a bit noisy though). Alternatively there is the Premier Inn by the train station. For student accommodation people please contact individually to book places but these can be quite expensive compared to the hotels and are only worth trying if you are staying for a bit longer.

Getting to Wolverhampton: If you are flying to the UK, the nearest airport is Birmingham International. Trains from the airport to Wolverhampton take about 50 minutes. Trains from Heathrow or Gatwick take about 3-4 hours and trains from Manchester Airport take about 2 hours. Wolverhampton University is in Wolverhampton city centre, in City Campus Wulfruna (South). It is a five minute walk from the railway station (Walk straight ahead over the bridge, across two sets of traffic lights and turn right down an alleyway just after the art gallery/museum).

Things to do in Wolverhampton and near Wolverhampton. There is also an unusual pub in Wolverhampton.

Other topically related workshops and conferences:

Evaluation of science and innovation policies in Manchester, 20-24 May 2019.

CWTS Scientometrics Spring School (CS3) April 15-19, 2019.

The European Summer School for Scientometrics (esss) 15-20 July 2019.

The ISSI2019 conference Rome 2-5 September 2019.

The 6AM altmetrics conference and altmetrics19 workshop, 11 October 2019, Stirling, UK.

24th Nordic Workshop on Bibliometrics and Research Policy, 27th – 29th of November at the University of Iceland, Reykjavik, Iceland.

Evaluating knowledge transfer and impact: metrics, procedures and governance for science and innovation in Cordoba 12-13 December 2019.