Do you know who is reading your paper?

ReaderTracker allows you to view the reading performance of scientific publications. Create new scientific collaborations, and find world wide potential partners to submit proposals.

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ReaderTracker calculates the number of readers' and their interests, to construct an analytic, graphic chart

Reach out to new scientific audiences.

Reading Performance

Get real-time statistics about who read a paper and where they come from.

Full contact details

Get details of the reader from a paper and where they come from.

Find collaborators

Sort the readers of a paper by teir scientific interests and setup new collaborations.

User location

Sort the readers of a paper by their location to respond together to region specific call.

See the number of readers & potential readers of any paper, and directly message them.

Every paper is unique. With Peerus ReaderTracker, you can see the number of readers who have read a paper since, today, last week, last month, and from the date of publication. Potential readers account for the number of times that paper has been displayed to other Peerus users.

Top 3 Weekly Paper Performance

Every week we present the top 3 most read papers in a given week.

Week from January 4, 2019

Nano-Micro Letters

08/01/19

Recent Progress on Engineering Highly Efficient Porous Semiconductor Photocatalysts Derived from Metalic-Organic Frameworks

Wenwen Zhan, Liming Sun, Xiguang Han

This paper has been read by 7 different people

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Microbiome

04/01/19

Metagenomic, phylogenetic, and functional characterization of predominant endolithic green sulfur bacteria in the coral Isopora palifera

Shan-Hua Yang, Kshitij Tandon, Chih-Ying Lu, Naohisa Wada, Chao-Jen Shih, Silver Sung-Yun Hsiao, Wann-Neng Jane, Tzan-Chain Lee, Chi-Ming Yang, Chi-Te Liu, Vianney Denis, Yu-Ting Wu, Li-Ting Wang, Lina Huang, Der-Chuen Lee, Yu-Wei Wu, Hideyuki Yamashiro, Sen-Lin Tang

This paper has been read by 5 different people

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BMC Genomics

08/01/19

Bacterial and viral pathogen-associated molecular patterns induce divergent early transcriptomic landscapes in a bovine macrophage cell line

Helen C. Wheeler, Dominique Berteaux, Chris Furgal, Kevin Cazelles, Nigel G. Yoccoz, David Grémillet

This paper has been read by 5 different people

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Finding new research partners will make all the difference

Knowing who reads your papers and where their interests lay, is an essential part of building new collaborations. With ReaderTracker you can uncover these essential insights in less than a minute.

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