↓ Skip to main content

Adventures in public data

Overview of attention for article published in Journal of Cheminformatics, October 2011
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
13 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Adventures in public data
Published in
Journal of Cheminformatics, October 2011
DOI 10.1186/1758-2946-3-34
Pubmed ID
Authors

Dan W Zaharevitz

Abstract

This article contains the slides and transcript of a talk given by Dan Zaharevitz at the "Visions of a Semantic Molecular Future" symposium held at the University of Cambridge Department of Chemistry on 2011-01-19. A recording of the talk is available on the University Computing Service's Streaming Media Service archive at http://sms.cam.ac.uk/media/1095515 (unfortunately the first part of the recording was corrupted, so the talk appears to begin at slide 6, 'At a critical time'). We believe that Dan's message comes over extremely well in the textual transcript and that it would be poorer for serious editing. In addition we have added some explanations and references of some of the concepts in the slides and text. (Charlotte Bolton; Peter Murray-Rust, University of Cambridge) EDITORIAL PREFACE: The following paper is part of a series of publications which arose from a Symposium held at the Unilever Centre for Molecular Informatics at the University of Cambridge to celebrate the lifetime achievements of Peter Murray-Rust. One of the motives of Peter's work was and is a better transport and preservation of data and information in scientific publications. In both respects the following publication is relevant: it is about public data and their representation, and the publication represents a non-standard experiment of transporting the content of the scientific presentation. As you will see, it consists of the original slides used by Dan Zaharevitz in his talk "Adventures in Public Data" at the Unilever Centre together with a diligent transcript of his speech. The transcribers have gone through great effort to preserve the original spirit of the talk by preserving colloquial language as it is used at such occasions. For reasons known to us, the original speaker was unable to submit the manuscript in a more conventional form. We, the Editors, have discussed in depth whether such a format is suitable for a scientific journal. We have eventually decided to publish this "as is". We did this mostly because it was Peter's wish that this talk was published in this form and because we agreed with his notion that this format transmits the message just as well as a formal article as defined by our instructions for authors. We, the Editors, wish to make clear however that this is an exception that we made because we would like to preserve the temporal unity and message of this set of publications. Insisting on a formal publication would have meant losing this historical account as part of the thematic series of papers or disrupting the series. We hope that this will find the consent of our readership.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 23%
Student > Master 2 15%
Lecturer 1 8%
Student > Doctoral Student 1 8%
Student > Bachelor 1 8%
Other 5 38%
Readers by discipline Count As %
Medicine and Dentistry 3 23%
Computer Science 3 23%
Agricultural and Biological Sciences 2 15%
Chemistry 2 15%
Business, Management and Accounting 1 8%
Other 2 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 November 2011.
All research outputs
#3,533,865
of 22,653,392 outputs
Outputs from Journal of Cheminformatics
#339
of 825 outputs
Outputs of similar age
#20,260
of 136,361 outputs
Outputs of similar age from Journal of Cheminformatics
#15
of 21 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 825 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 136,361 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.