This document discusses how including the term "agroforestry" in titles and keywords of papers published in the journal Agroforestry Systems can help the papers be found more easily by online search engines. The authors analyzed papers from 2003-2012 and found that only 24% included "agroforestry" in the title, and 43% could not be found by searching the topic. Papers with "agroforestry" in the title or keywords received more citations on average. The authors encourage including "agroforestry" prominently to help potential readers find papers.
Open Science: the time is now, the place is EuropeKamila Markram
In this lecture at ESOF 2018 Frontiers' CEO Kamila Markram demonstrates a clear citation advantage of Open Access journals over subscription journals. She also speaks about the leading role Europe takes to drive the transition to Open Science.
Read also: https://blog.frontiersin.org/2018/07/11/scientific-excellence-at-scale-open-access-journals-have-a-clear-citation-advantage-over-subscription-journals/
Our access to scientific information has changed in ways that were hardly imagined even by the early pioneers of the internet. The immense quantities of data and the array of tools available to search and analyze online content continues to expand while the pace of change does not appear to be slowing. ChemSpider is one of the chemistry community’s primary online public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data tens of thousands of chemists every day and it serves as the foundation for many important international projects to integrate chemistry and biology data, facilitate drug discovery efforts and help to identify new chemicals from under the ocean. This presentation will provide an overview of the expanding reach of the ChemSpider platform and the nature of the solutions that it helps to enable. We will also discuss the possibilities it offers in the domain of crowdsourcing and open data sharing. The future of scientific information and communication will be underpinned by these efforts, influenced by increasing participation from the scientific community and facilitated collaboration and ultimately accelerate scientific progress.
The JISC funded Rapid Innovation project JournalTOCs held a workshop at Heriot Watt University in Edinburgh of Friday 20th November 2009. Lisa Rogers gives a presentation introducing the journalTOCs project, the API and feedback about the API.
Open Science: the time is now, the place is EuropeKamila Markram
In this lecture at ESOF 2018 Frontiers' CEO Kamila Markram demonstrates a clear citation advantage of Open Access journals over subscription journals. She also speaks about the leading role Europe takes to drive the transition to Open Science.
Read also: https://blog.frontiersin.org/2018/07/11/scientific-excellence-at-scale-open-access-journals-have-a-clear-citation-advantage-over-subscription-journals/
Our access to scientific information has changed in ways that were hardly imagined even by the early pioneers of the internet. The immense quantities of data and the array of tools available to search and analyze online content continues to expand while the pace of change does not appear to be slowing. ChemSpider is one of the chemistry community’s primary online public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data tens of thousands of chemists every day and it serves as the foundation for many important international projects to integrate chemistry and biology data, facilitate drug discovery efforts and help to identify new chemicals from under the ocean. This presentation will provide an overview of the expanding reach of the ChemSpider platform and the nature of the solutions that it helps to enable. We will also discuss the possibilities it offers in the domain of crowdsourcing and open data sharing. The future of scientific information and communication will be underpinned by these efforts, influenced by increasing participation from the scientific community and facilitated collaboration and ultimately accelerate scientific progress.
The JISC funded Rapid Innovation project JournalTOCs held a workshop at Heriot Watt University in Edinburgh of Friday 20th November 2009. Lisa Rogers gives a presentation introducing the journalTOCs project, the API and feedback about the API.
CHORUS: A Collaborative Approach to Public AccessCarol Anne Meyer
Panel presentation on public access at the American Association of Publisher/Professional and Scholarly Division (AAP/PSP) Annual Meeting, February 2014
The Royal Society of Chemistry (RSC) is a major participant in providing access to chemistry related data via the web. As an internationally renowned society for the chemical sciences, a scientific publisher and the host of the ChemSpider database for the community, RSC continues to make dramatic strides in providing online access to data. ChemSpider provides access to over 30 million chemicals sourced from over 500 data suppliers and linked out to related information on the web. The platform is a crowdsourcing environment whereby members of the community can participate in validating and expanding the content of the database. With a set of application programming interfaces ChemSpider is used by various organizations and projects to serve up data for various purposes. These include structure identification for mass spectrometry instrument vendors, RSC databases such as the Marinlit natural products database and a European grant-based project from the Innovative Medicines Initiative fund. This presentation will provide an overview of various cheminformatics activities and projects that RSC is involved with to serve the medicinal chemistry community. This will include the Open PHACTS semantic web project, the PharmaSea project to identify new pharmaceutical leads from the ocean and the UK National Compound Collection to identify new lead compounds contained within PhD theses.
The Internet is the world’s publicly accessible container for a myriad of resources containing chemistry related data. Whether it be collections of millions of chemical compounds with their associated properties, interactive displays for analytical data, access to publications and patents or tapping into the increasing availability of online computational engines, the web has became the primary enabling technology to source information and data. Scientists collectively applaud and utilize the availability of such resources and an increasing proportion of the community are willing to support these resources by contributing both their data and skills to help curate and validate information on the web. This “crowdsourcing” has started to contribute large amounts of data to the commons and serves has a valuable platform for reference and, potentially, discovery.
ChemSpider is one of the chemistry community’s primary online resources and allows scientists to search across 25 million unique chemical compounds linked out to over 400 original data sources and has become a central hub for searching for chemistry-related data. The platform however offers much more to the community and has become a central repository for analytical data, specifically spectra, is a host for community-authored chemical syntheses and facilitates data curation and annotation by any of its users. This presentation will provide an overview of the ChemSpider platform in terms of available data and its efforts to act as a public repository and clearing ground for data curation. We will discuss how such a platform, when coupled with game-based approaches, facilitates both teaching and data validation and will discuss whether public domain resources such as ChemSpider will ultimately become authorities for chemistry.
This is a presentation I gave at the FDA on December 1st 2009 in Wahington DC as part of a symposium involving PubChem, ChemIDPLus, PillBox, DailyMed and other related systems. The focus was, as usual, on the quality of data online and how to clean up the information and with a specific focus on the quality of data on the FDA's DailyMed and our efforts to apply semantic markup to the DailyMed articles
This presentation about the JournalTOCs project was given at the 2009 EUROCRIS is St Andrews in November 2009. JournalTOCs is a JISC funded rapid innovation project.
The ChemSpider database is an online resource containing >26 million chemicals sourced from over 400 data sources. As a result the database is a rich resource supporting the verification and elucidation of chemical structures and is utilized by mass spectrometrists around the world using the online user interface as well as the application programming interface. This presentation will provide an overview of how ChemSpider can be used for the purpose of structure identification and will include (1) direct interaction with the online interface; (2) integration to mass spectrometry vendor software; (3) applications to the identification of “known unknowns” and a comparison with the capabilities of CAS Scifinder and (4) the hosting of online mass spectral data.
These are the slides I will be giving here at the Science Commons Symposium Pacific Northwest at the Microsoft Campus here in Redmond in about 5 minutes time
Access to scientific information has changed in a manner that was likely never even imagined by the early pioneers of the internet. The quantities of data, the array of tools available to search and analyze, the devices and the shift in community participation continues to expand while the pace of change does not appear to be slowing. ChemSpider is one of the chemistry community’s primary online public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data tens of thousands of chemists every day and it serves as the foundation for many important international projects to integrate chemistry and biology data, facilitate drug discovery efforts and help to identify new chemicals from under the ocean. This presentation will provide an overview of the expanding reach of this eScience cheminformatics platform and the nature of the solutions that it helps to enable including structure validation, text mining and semantic markup, the National Chemical Database Service for the United Kingdom and the development of a chemistry data repository. We will also discuss the possibilities it offers in the domain of crowdsourcing and open data sharing. The future of scientific information and communication will be underpinned by these efforts, influenced by increasing participation from the scientific community and facilitated collaboration and ultimately accelerate scientific progress.
CHORUS: A Collaborative Approach to Public AccessCarol Anne Meyer
Panel presentation on public access at the American Association of Publisher/Professional and Scholarly Division (AAP/PSP) Annual Meeting, February 2014
The Royal Society of Chemistry (RSC) is a major participant in providing access to chemistry related data via the web. As an internationally renowned society for the chemical sciences, a scientific publisher and the host of the ChemSpider database for the community, RSC continues to make dramatic strides in providing online access to data. ChemSpider provides access to over 30 million chemicals sourced from over 500 data suppliers and linked out to related information on the web. The platform is a crowdsourcing environment whereby members of the community can participate in validating and expanding the content of the database. With a set of application programming interfaces ChemSpider is used by various organizations and projects to serve up data for various purposes. These include structure identification for mass spectrometry instrument vendors, RSC databases such as the Marinlit natural products database and a European grant-based project from the Innovative Medicines Initiative fund. This presentation will provide an overview of various cheminformatics activities and projects that RSC is involved with to serve the medicinal chemistry community. This will include the Open PHACTS semantic web project, the PharmaSea project to identify new pharmaceutical leads from the ocean and the UK National Compound Collection to identify new lead compounds contained within PhD theses.
The Internet is the world’s publicly accessible container for a myriad of resources containing chemistry related data. Whether it be collections of millions of chemical compounds with their associated properties, interactive displays for analytical data, access to publications and patents or tapping into the increasing availability of online computational engines, the web has became the primary enabling technology to source information and data. Scientists collectively applaud and utilize the availability of such resources and an increasing proportion of the community are willing to support these resources by contributing both their data and skills to help curate and validate information on the web. This “crowdsourcing” has started to contribute large amounts of data to the commons and serves has a valuable platform for reference and, potentially, discovery.
ChemSpider is one of the chemistry community’s primary online resources and allows scientists to search across 25 million unique chemical compounds linked out to over 400 original data sources and has become a central hub for searching for chemistry-related data. The platform however offers much more to the community and has become a central repository for analytical data, specifically spectra, is a host for community-authored chemical syntheses and facilitates data curation and annotation by any of its users. This presentation will provide an overview of the ChemSpider platform in terms of available data and its efforts to act as a public repository and clearing ground for data curation. We will discuss how such a platform, when coupled with game-based approaches, facilitates both teaching and data validation and will discuss whether public domain resources such as ChemSpider will ultimately become authorities for chemistry.
This is a presentation I gave at the FDA on December 1st 2009 in Wahington DC as part of a symposium involving PubChem, ChemIDPLus, PillBox, DailyMed and other related systems. The focus was, as usual, on the quality of data online and how to clean up the information and with a specific focus on the quality of data on the FDA's DailyMed and our efforts to apply semantic markup to the DailyMed articles
This presentation about the JournalTOCs project was given at the 2009 EUROCRIS is St Andrews in November 2009. JournalTOCs is a JISC funded rapid innovation project.
The ChemSpider database is an online resource containing >26 million chemicals sourced from over 400 data sources. As a result the database is a rich resource supporting the verification and elucidation of chemical structures and is utilized by mass spectrometrists around the world using the online user interface as well as the application programming interface. This presentation will provide an overview of how ChemSpider can be used for the purpose of structure identification and will include (1) direct interaction with the online interface; (2) integration to mass spectrometry vendor software; (3) applications to the identification of “known unknowns” and a comparison with the capabilities of CAS Scifinder and (4) the hosting of online mass spectral data.
These are the slides I will be giving here at the Science Commons Symposium Pacific Northwest at the Microsoft Campus here in Redmond in about 5 minutes time
Access to scientific information has changed in a manner that was likely never even imagined by the early pioneers of the internet. The quantities of data, the array of tools available to search and analyze, the devices and the shift in community participation continues to expand while the pace of change does not appear to be slowing. ChemSpider is one of the chemistry community’s primary online public compound databases. Containing tens of millions of chemical compounds and its associated data ChemSpider serves data tens of thousands of chemists every day and it serves as the foundation for many important international projects to integrate chemistry and biology data, facilitate drug discovery efforts and help to identify new chemicals from under the ocean. This presentation will provide an overview of the expanding reach of this eScience cheminformatics platform and the nature of the solutions that it helps to enable including structure validation, text mining and semantic markup, the National Chemical Database Service for the United Kingdom and the development of a chemistry data repository. We will also discuss the possibilities it offers in the domain of crowdsourcing and open data sharing. The future of scientific information and communication will be underpinned by these efforts, influenced by increasing participation from the scientific community and facilitated collaboration and ultimately accelerate scientific progress.
Building Information Model (BIM) based process miningStijn van Schaijk
Master Thesis research into BIM based process mining. Enabling knowledge reassurance and fact-based problem discovery within the Architecture, Engineering, Construction and Facility Management Industry.
Unleashing the power of machine learning for it ops managementJason Bloomberg
Now that virtualization is a must-have across all modern IT shops, data center operations require comprehensive, real-time insights in order to manage these high-performance production environments.
First-generation operational analytics tools fall short. They are based on static or some form of dynamic thresholds derived from trending and averaging analytical approaches. But in today’s dynamic, high-velocity environments, false positives are far too common and important information is lost in the noise.
Next generation analytic tools should leverage self-learning models powered by machine learning in order to deliver personalized, faster, more accurate operational insights.
While some emerging tools are leveraging self-learning models to identify the anomalies in the individual object behaviors based on reported statistics. However capturing the anomalies alone of individual metrics is not sufficient enough for two major reasons:
• First, it does not capture the interplay between the data and therefore learn those behaviors (such as IOPS, latencies, CPU).
• Second, it does not provide the actionable insight but rather identifies some anomaly that may or may not require attention.
Learn now next generation approach is addressing this gap using machine learning principals that incorporate the notion the topology and the interplay between the data to to derive root causes in order to identify actual issues and provide meaningful recommendations.
Join industry analyst Jason Bloomberg, president of Intellyx, who will discuss the challenges facing IT operations today and why advanced machine learning, graph technology, and topological data analysis are now critical elements needed by today’s IT operations analytics technology. Next, Jim Shocrylas, Product Manager, SIOS Technology will explain how next-generation machine learning is enabling IT analytics tools to help IT managers resolve performance issues, ensure resource optimization, and meet service level agreements for mission critical applications in VMware environments. He will then walk through common use cases for the practical application of this advanced technology.
Dr. Craig Lewis - FDA Perspective on Gathering Antimicrobial Use Data in AnimalsJohn Blue
FDA Perspective on Gathering Antimicrobial Use Data in Animals - Dr. Craig A. Lewis, DVM, MPH, DACVPM, VMO, Center for Veterinary Medicine, U.S. Food and Drug Administration
, from the 2015 NIAA Annual Conference titled 'Water and the Future of Animal Agriculture', March 23 - March 26, 2015, Indianapolis, IN, USA.
More presentations at http://www.trufflemedia.com/agmedia/conference/2015_niaa_water_future_animal_ag
Jisc Analytics Labs is an approach to the development of decision-making tools underpinned by data. This presentation will briefly outline this approach and then focus on the results of the reproducibility lab which used data from articles on animal-based research to assess the degree to which factors affecting research reproducibility are reported
Wildlife in the cloud: A new approach for engaging stakeholders in wildlife m...Greenapps&web
Guillaume Chapron / CC BY 4.0
Research in wildlife management increasingly relies on quantitative population models. However, a remaining challenge is to have end-users, who are often alienated by mathematics, benefiting from this research. I propose a new approach, ‘wildlife in the cloud,’ to enable active learning by practitioners from cloud-based ecological models whose complexity remains invisible to the user. I argue that this concept carries the potential to overcome limitations of desktop-based software and allows new understandings of human-wildlife systems. This concept is illustrated by presenting an online decisionsupport tool for moose management in areas with predators in Sweden. The tool takes the form of a user-friendly cloud-app through which users can compare the effects of alternative management decisions, and may feed into adjustment of their hunting trategy. I explain how the dynamic nature of cloud-apps opens the door to different ways of learning, informed by ecological models that can benefit both users and researchers.
The Value of the Scholarly-led, Non-profit Business Model to Achieve Open Acc...REDALYC
The Value of the Scholarly-led, Non-profit Business Model to Achieve Open Access and Scholarly Publishing Beyond APC: the AmeliCA’s Cooperative Approach
The value of the scholarly-led, non-profit business model to achieve Open Acc...REDALYC
The value of the scholarly-led, non-profit business model to achieve Open Access and scholarly publishing beyond APC: the AmeliCA's cooperative approach
1. 1 23
Agroforestry Systems
An International Journal incorporating
Agroforestry Forum
ISSN 0167-4366
Volume 88
Number 2
Agroforest Syst (2014) 88:383-384
DOI 10.1007/s10457-013-9667-0
Using “agroforestry” in the title: serving
potential readers better by increasing the
chances of being found by search engines
Hongtao Hao, Catherine Grimaldi &
Christian Walter
2. 1 23
Your article is protected by copyright and all
rights are held exclusively by Springer Science
+Business Media Dordrecht. This e-offprint
is for personal use only and shall not be self-
archived in electronic repositories. If you wish
to self-archive your article, please use the
accepted manuscript version for posting on
your own website. You may further deposit
the accepted manuscript version in any
repository, provided it is only made publicly
available 12 months after official publication
or later and provided acknowledgement is
given to the original source of publication
and a link is inserted to the published article
on Springer's website. The link must be
accompanied by the following text: "The final
publication is available at link.springer.com”.
3. Using ‘‘agroforestry’’ in the title: serving potential readers
better by increasing the chances of being found by search
engines
Hongtao Hao • Catherine Grimaldi •
Christian Walter
Received: 22 October 2013 / Accepted: 20 December 2013 / Published online: 27 December 2013
Ó Springer Science+Business Media Dordrecht 2014
Chances are that you are reading this article on a
screen rather than in your library’s bound copy of the
journal (the good old days). If so, you most likely
found this article with an internet-based search engine
such as the Web of Knowledge (ISI), Springer Link or
Google Scholar.
The way one searches for scientific and academic
references has changed with the development of
technology. Fewer people visit the library to browse
individual journals. Even you wanted to do so, your
library may have stopped subscribing to paper copies
of your favorite journals. In other cases, some journals
(e.g., Plant and Soil) now offer only an electronic
version. Increasingly, libraries purchase electronic
access to journal packages. Consequently, the journal
of Agroforestry Systems should adapt to this practice
to serve potential readers better.
We used the Web of Knowledge to search for and
analyse all papers published in Agroforestry Systems
from 2003 to 2012 (Table 1). We discovered that
many papers published in Agroforestry Systems cannot
be found by searching for the word ‘‘agroforestry’’ in
the title or topic in the Web of Knowledge. Of the 798
papers published by the journal during this period,
surprisingly only 188 (24 %) included agroforestry in
their titles. This is a pity, because readers who are
interested in agroforestry and search only for agrofor-
estry in the title may not see the remaining 76 % of the
papers. In 2007, only 6 out of 61 papers published
(10 %) used agroforestry in the title. From 2007 to
2012, the percentage increased from 10 to 30 %,
which is a good sign that should be encouraged.
Even when we search by topic (include title,
abstract, keywords, keyword plus in Web of Knowl-
edge), still 344 papers (43 % of published in Agro-
forestry Systems from 2003 to 2012) are invisible.
Because all papers in Agroforestry Systems deal with
agroforestry in some way, we have verified them
during the reference research on this subject and have
checked each issue for papers that interest us. But for
those rely only on search engines to find papers
dealing with agroforestry, future authors could make
efforts to increase the chances of finding papers.
Although the number of times a paper is cited is not
always the best indicator of its quality and influence, it
might partly indicate that the number of people who
have read it. When searching by title, the average
number of citations is 6.0 for papers without agrofor-
estry in title, and 8.2 for those with it, a 35 % increase.
When searching by topic, the average number of
citations is 5.4 for papers without agroforestry as a
topic, and 7.5 for papers with it, a 38 % increase. It is
unlikely that this increase is just a coincidence.
Adding agroforestry in the title or topic does increase
H. Hao (&) Á C. Grimaldi
INRA, UMR1069, Soil Agro and hydroSystem,
35000 Rennes, France
e-mail: hongtao.hao@rennes.inra.fr
H. Hao Á C. Walter
Agrocampus Rennes, UMR1069, Soil Agro and
hydroSystem, 35000 Rennes, France
123
Agroforest Syst (2014) 88:383–384
DOI 10.1007/s10457-013-9667-0
Author's personal copy
4. the chance of a paper being found and thus its chance
of being read and cited.
(It might benefit the journal too: because in theory
the impact factor (IF) might increase by up to 35 % if
its papers were cited 35 % more.)
To conclude, we strongly encourage including
agroforestry in the title or keywords of all future
papers published in Agroforestry Systems. We empha-
size using agroforestry in the title rather than in the
keyword, because when a search returns hundreds
papers in the Web of Knowledge, one usually reads
each title in less than several seconds to decide
whether to reject it or to continue read its abstract.
These several seconds do count.
For example, instead of ‘‘…in a silvopastoral
system’’, authors can write ‘‘…in a silvopastoral
Agroforestry system’’ in the title. Papers that use
precise terms such as ‘‘alley cropping’’, ‘‘hedgerow’’,
‘‘silvopastoral system’’, ‘‘shelter belt’’ or ‘‘tree-based
intercropping’’ are useful. But by the simple addition
of agroforestry to the title or keyword makes the paper
easier to find in Web of Knowledge, thus serving
potential readers better.
Acknowledgments We thank the support from La Fondation
de France.
Table 1 Analysis of papers published in Agroforestry Systems from 2003 to 2012 (search engine: Web of Knowledge where
searching by topic include words in the title, abstract, keywords, and keywords plus)
Year Articles
published
agroforestry
in title
agroforestry
NOT in title
agroforestry
as topic
agroforestry
NOT as topic
2003 76 9 (12 %) 67 34 (45 %) 42
2004 64 28 (44 %) 36 45 (70 %) 19
2005 78 19 (24 %) 59 44 (56 %) 34
2006 70 9 (13 %) 61 35 (50 %) 35
2007 61 6 (10 %) 55 24 (39 %) 37
2008 70 13 (19 %) 57 42 (60 %) 28
2009 86 21 (24 %) 65 53 (62 %) 33
2010 96 25 (26 %) 71 53 (55 %) 43
2011 82 24 (29 %) 58 51 (62 %) 31
2012 115 34 (30 %) 81 73 (63 %) 42
Total 798 188 (24 %) 610 454 (57 %) 344
Average number
of citations per paper
6.6 8.2 6.0 7.5 5.4
384 Agroforest Syst (2014) 88:383–384
123
Author's personal copy