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"firstName": "Ye", "lastName": "Shen" }, { "creatorType": "author", "firstName": "Nathan", "lastName": "Eagle" } ], "abstractNote": "", "publicationTitle": "QualMeetsQuant Workshop at the 4th International IEEE/ACM Conference on Information and Communication Technologies and Development", "publisher": "", "place": "", "date": "2010", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "8IZ7U273" ], "relations": {}, "dateAdded": "2014-09-30T22:36:03Z", "dateModified": "2014-09-30T22:36:03Z" } }, { "key": "9PV3BAAX", "version": 38, "library": { "type": "group", "id": 276965, "name": "mobility-prediction", "links": 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International Development", "publisher": "", "place": "", "date": "2012", "volume": "8", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "1-16", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "", "citationKey": "", "url": "", "accessDate": "", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "8IZ7U273" ], "relations": {}, "dateAdded": "2014-09-30T22:35:46Z", "dateModified": "2014-09-30T22:35:46Z" } }, { "key": "VM95F33I", "version": 37, "library": { "type": "group", "id": 276965, "name": "mobility-prediction", "links": { "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/276965/items/VM95F33I", "type": "application/json" }, "alternate": { "href": 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"accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "8IZ7U273" ], "relations": {}, "dateAdded": "2014-08-07T09:06:51Z", "dateModified": "2014-08-07T09:07:44Z" } }, { "key": "RMGIFKR4", "version": 36, "library": { "type": "group", "id": 276965, "name": "mobility-prediction", "links": { "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/276965/items/RMGIFKR4", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction/items/RMGIFKR4", "type": "text/html" } }, "meta": { "createdByUser": { "id": 16542, "username": "jblumenstock", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/jblumenstock", "type": "text/html" } } }, "creatorSummary": "Young et al.", "parsedDate": "2014", "numChildren": 0 }, "data": { "key": "RMGIFKR4", "version": 36, "itemType": "conferencePaper", "title": "Detecting and classifying anomalous behavior in spatiotemporal network data", "creators": [ { "creatorType": "author", "firstName": "William", "lastName": "Young" }, { "creatorType": "author", "firstName": "Joshua Evan", "lastName": "Blumenstock" }, { "creatorType": "author", "firstName": "Emily", "lastName": "Fox" }, { "creatorType": "author", "firstName": "Tyler", "lastName": "McCormick" } ], "abstractNote": "", "proceedingsTitle": "", "conferenceName": "Learning About Emergencies from Social Information workshop at KDD", "publisher": "", "place": "New York, NY", "date": "2014", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "", "series": "", "seriesNumber": "", "DOI": "", "ISBN": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "8IZ7U273" ], "relations": {}, "dateAdded": "2014-08-07T09:04:10Z", "dateModified": "2014-08-07T09:06:39Z" } }, { "key": "7MRCHB2G", "version": 33, "library": { "type": "group", "id": 276965, "name": "mobility-prediction", "links": { "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/276965/items/7MRCHB2G", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction/items/7MRCHB2G", "type": "text/html" } }, "meta": { "createdByUser": { "id": 16542, "username": "jblumenstock", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/jblumenstock", "type": "text/html" } } }, "creatorSummary": "Ratti et al.", "parsedDate": "2006", "numChildren": 1 }, "data": { "key": "7MRCHB2G", "version": 33, "itemType": "journalArticle", "title": "Mobile Landscapes: using location data from cell phones for urban analysis", "creators": [ { "creatorType": "author", "firstName": "Carlo", "lastName": "Ratti" }, { "creatorType": "author", "firstName": "Riccardo Maria", "lastName": "Pulselli" }, { "creatorType": "author", "firstName": "Sarah", "lastName": "Williams" }, { "creatorType": "author", "firstName": "Dennis", "lastName": "Frenchman" } ], "abstractNote": "The technology for determining the geographic location of cell phones and other handheld devices is becoming increasingly available. It is opening the way to a wide range of applications, collectively referred to as location-based services (LBS), that are primarily aimed at individual users. However, if deployed to retrieve aggregated data in cities, LBS could become a powerful tool for urban analysis. In this paper we aim to review and introduce the potential of this technology to the urban planning community. In addition, we present the ‘Mobile Landscapes’ project: an application in the metropolitan area of Milan, Italy, based on the geographical mapping of cell phone usage at different times of the day. The results enable a graphic representation of the intensity of urban activities and their evolution through space and time. Finally, a number of future applications are discussed and their potential for urban studies and planning is assessed.", "publicationTitle": "Environment and Planning B: Planning and Design", "publisher": "", "place": "", "date": "2006", "volume": "33", "issue": "5", "section": "", "partNumber": "", "partTitle": "", "pages": "727-748", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1068/b32047", "citationKey": "", "url": "http://www.envplan.com/abstract.cgi?id=b32047", "accessDate": "2014-08-06T11:30:14Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Mobile Landscapes", "language": "", "libraryCatalog": "Pion Journals", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "8IZ7U273" ], "relations": {}, "dateAdded": "2014-08-06T11:30:14Z", "dateModified": "2014-08-07T01:16:56Z" } }, { "key": "7R5U5NZC", "version": 32, "library": { "type": "group", "id": 276965, "name": "mobility-prediction", "links": { "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/276965/items/7R5U5NZC", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction/items/7R5U5NZC", "type": "text/html" } }, "meta": { "createdByUser": { "id": 16542, "username": "jblumenstock", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/jblumenstock", "type": "text/html" } } }, "creatorSummary": "Monreale et al.", "parsedDate": "2009", "numChildren": 0 }, "data": { "key": "7R5U5NZC", "version": 32, "itemType": "conferencePaper", "title": "WhereNext: A Location Predictor on Trajectory Pattern Mining", "creators": [ { "creatorType": "author", "firstName": "Anna", "lastName": "Monreale" }, { "creatorType": "author", "firstName": "Fabio", "lastName": "Pinelli" }, { "creatorType": "author", "firstName": "Roberto", "lastName": "Trasarti" }, { "creatorType": "author", "firstName": "Fosca", "lastName": "Giannotti" } ], "abstractNote": "The pervasiveness of mobile devices and location based services is leading to an increasing volume of mobility data.This side eect provides the opportunity for innovative methods that analyse the behaviors of movements. In this paper we propose WhereNext, which is a method aimed at predicting with a certain level of accuracy the next location of a moving object. The prediction uses previously extracted movement patterns named Trajectory Patterns, which are a concise representation of behaviors of moving objects as sequences of regions frequently visited with a typical travel time. A decision tree, named T-pattern Tree, is built and evaluated with a formal training and test process. The tree is learned from the Trajectory Patterns that hold a certain area and it may be used as a predictor of the next location of a new trajectory finding the best matching path in the tree. Three dierent best matching methods to classify a new moving object are proposed and their impact on the quality of prediction is studied extensively. Using Trajectory Patterns as predictive rules has the following implications: (I) the learning depends on the movement of all available objects in a certain area instead of on the individual history of an object; (II) the prediction tree intrinsically contains the spatio-temporal properties that have emerged from the data and this allows us to define matching methods that striclty depend on the properties of such movements. In addition, we propose a set of other measures, that evaluate a priori the predictive power of a set of Trajectory Patterns. This measures were tuned on a real life case study. Finally, an exhaustive set of experiments and results on the real dataset are presented.", "proceedingsTitle": "Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining", "conferenceName": "", "publisher": "ACM", "place": "New York, NY, USA", "date": "2009", "eventPlace": "", "volume": "", "issue": "", "numberOfVolumes": "", "pages": "637–646", "series": "KDD '09", "seriesNumber": "", "DOI": "10.1145/1557019.1557091", "ISBN": "978-1-60558-495-9", "citationKey": "", "url": "http://doi.acm.org/10.1145/1557019.1557091", "accessDate": "2014-08-07T01:06:01Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "WhereNext", "language": "", "libraryCatalog": "ACM Digital Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "spatio-temporal data mining", "type": 1 }, { "tag": "trajectory patterns", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2014-08-07T01:15:49Z", "dateModified": "2014-08-07T01:15:49Z" } }, { "key": "A7A9W4TX", "version": 32, "library": { "type": "group", "id": 276965, "name": "mobility-prediction", "links": { "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/276965/items/A7A9W4TX", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction/items/A7A9W4TX", "type": "text/html" } }, "meta": { "createdByUser": { "id": 16542, "username": "jblumenstock", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/jblumenstock", "type": "text/html" } } }, "creatorSummary": "Scellato et al.", "parsedDate": "2011-01-01", "numChildren": 0 }, "data": { "key": "A7A9W4TX", "version": 32, "itemType": "bookSection", "title": "NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems", "creators": [ { "creatorType": "author", "firstName": "Salvatore", "lastName": "Scellato" }, { "creatorType": "author", "firstName": "Mirco", "lastName": "Musolesi" }, { "creatorType": "author", "firstName": "Cecilia", "lastName": "Mascolo" }, { "creatorType": "author", "firstName": "Vito", "lastName": "Latora" }, { "creatorType": "author", "firstName": "Andrew T.", "lastName": "Campbell" }, { "creatorType": "editor", "firstName": "Kent", "lastName": "Lyons" }, { "creatorType": "editor", "firstName": "Jeffrey", "lastName": "Hightower" }, { "creatorType": "editor", "firstName": "Elaine M.", "lastName": "Huang" } ], "abstractNote": "Accurate and fine-grained prediction of future user location and geographical profile has interesting and promising applications including targeted content service, advertisement dissemination for mobile users, and recreational social networking tools for smart-phones. Existing techniques based on linear and probabilistic models are not able to provide accurate prediction of the location patterns from a spatio-temporal perspective, especially for long-term estimation. More specifically, they are able to only forecast the next location of a user, but not his/her arrival time and residence time, i.e., the interval of time spent in that location. Moreover, these techniques are often based on prediction models that are not able to extend predictions further in the future. In this paper we present NextPlace, a novel approach to location prediction based on nonlinear time series analysis of the arrival and residence times of users in relevant places. NextPlace focuses on the predictability of single users when they visit their most important places, rather than on the transitions between different locations. We report about our evaluation using four different datasets and we compare our forecasting results to those obtained by means of the prediction techniques proposed in the literature. We show how we achieve higher performance compared to other predictors and also more stability over time, with an overall prediction precision of up to 90% and a performance increment of at least 50% with respect to the state of the art.", "bookTitle": "Pervasive Computing", "series": "Lecture Notes in Computer Science", "seriesNumber": "6696", "volume": "", "numberOfVolumes": "", "edition": "", "date": "2011/01/01", "publisher": "Springer Berlin Heidelberg", "place": "", "originalDate": "", "originalPublisher": "", "originalPlace": "", "format": "", "pages": "152-169", "ISBN": "978-3-642-21725-8, 978-3-642-21726-5", "DOI": "", "citationKey": "", "url": "http://link.springer.com.offcampus.lib.washington.edu/chapter/10.1007/978-3-642-21726-5_10", "accessDate": "2014-08-07T01:15:22Z", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "NextPlace", "language": "en", "libraryCatalog": "link.springer.com.offcampus.lib.washington.edu", "callNumber": "", "rights": "©2011 Springer-Verlag GmbH Berlin Heidelberg", "extra": "", "tags": [ { "tag": "Computer Communication Networks", "type": 1 }, { "tag": "Information Storage and Retrieval", "type": 1 }, { "tag": "Information Systems Applications (incl.Internet)", "type": 1 }, { "tag": "Software Engineering", "type": 1 }, { "tag": "User Interfaces and Human Computer Interaction", "type": 1 } ], "collections": [ "8IZ7U273" ], "relations": {}, "dateAdded": "2014-08-07T01:15:39Z", "dateModified": "2014-08-07T01:15:39Z" } }, { "key": "EDRMPE3N", "version": 31, "library": { "type": "group", "id": 276965, "name": "mobility-prediction", "links": { "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/276965/items/EDRMPE3N", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction/items/EDRMPE3N", "type": "text/html" } }, "meta": { "createdByUser": { "id": 2011556, "username": "sashwat", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/sashwat", "type": "text/html" } } }, "lastModifiedByUser": { "id": 16542, "username": "jblumenstock", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/jblumenstock", "type": "text/html" } } }, "creatorSummary": "Lorenzo et al.", "parsedDate": "2012", "numChildren": 1 }, "data": { "key": "EDRMPE3N", "version": 31, "itemType": "journalArticle", "title": "Predicting personal mobility with individual and group travel histories", "creators": [ { "creatorType": "author", "firstName": "Giusy Di", "lastName": "Lorenzo" }, { "creatorType": "author", "firstName": "Jonathan", "lastName": "Reades" }, { "creatorType": "author", "firstName": "Francesco", "lastName": "Calabrese" }, { "creatorType": "author", "firstName": "Carlo", "lastName": "Ratti" } ], "abstractNote": "Understanding and predicting human mobility is a crucial component of a range of administrative activities, from transportation planning to tourism and travel management. In this paper we propose a new approach that predicts the location of a person over time based on both individual and collective behaviors. The system draws on both previous trajectory histories and the features of the region—in terms of geography, land use, and points of interest—which might be ‘of interest’ to travellers. We test the effectiveness of our approach using a massive dataset of mobile phone location events compiled for the Boston metropolitan region, and experimental results suggest that the predictions are accurate to within 1.35 km and demonstrate the significant advantages of incorporating collective behavior into individual trip predictions. Keywords: urban dynamics, human mobility, mobility prediction, mobile-phone data", "publicationTitle": "Environment and Planning B: Planning and Design", "publisher": "", "place": "", "date": "2012", "volume": "39", "issue": "5", "section": "", "partNumber": "", "partTitle": "", "pages": "838-857", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1068/b37147", "citationKey": "", "url": "http://www.envplan.com/abstract.cgi?id=b37147", "accessDate": "2014-08-05T14:23:32Z", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "Pion Journals", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "8IZ7U273" ], "relations": {}, "dateAdded": "2014-08-05T14:23:32Z", "dateModified": "2014-08-06T13:25:26Z" } }, { "key": "59Z4A2UB", "version": 30, "library": { "type": "group", "id": 276965, "name": "mobility-prediction", "links": { "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/276965/items/59Z4A2UB", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction/items/59Z4A2UB", "type": "text/html" } }, "meta": { "createdByUser": { "id": 16542, "username": "jblumenstock", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/jblumenstock", "type": "text/html" } } }, "creatorSummary": "Ratti et al.", "parsedDate": "2006", "numChildren": 1 }, "data": { "key": "59Z4A2UB", "version": 30, "itemType": "journalArticle", "title": "Mobile Landscapes: using location data from cell phones for urban analysis", "creators": [ { "creatorType": "author", "firstName": "Carlo", "lastName": "Ratti" }, { "creatorType": "author", "firstName": "Riccardo Maria", "lastName": "Pulselli" }, { "creatorType": "author", "firstName": "Sarah", "lastName": "Williams" }, { "creatorType": "author", "firstName": "Dennis", "lastName": "Frenchman" } ], "abstractNote": "The technology for determining the geographic location of cell phones and other handheld devices is becoming increasingly available. It is opening the way to a wide range of applications, collectively referred to as location-based services (LBS), that are primarily aimed at individual users. However, if deployed to retrieve aggregated data in cities, LBS could become a powerful tool for urban analysis. In this paper we aim to review and introduce the potential of this technology to the urban planning community. In addition, we present the ‘Mobile Landscapes’ project: an application in the metropolitan area of Milan, Italy, based on the geographical mapping of cell phone usage at different times of the day. The results enable a graphic representation of the intensity of urban activities and their evolution through space and time. 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"group", "id": 276965, "name": "mobility-prediction", "links": { "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/276965/items/WEUASJ4Q", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction/items/WEUASJ4Q", "type": "text/html" } }, "meta": { "createdByUser": { "id": 16542, "username": "jblumenstock", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/jblumenstock", "type": "text/html" } } }, "creatorSummary": "Wesolowski et al.", "parsedDate": "2012-10-12", "numChildren": 0 }, "data": { "key": "WEUASJ4Q", "version": 20, "itemType": "journalArticle", "title": "Quantifying the Impact of Human Mobility on Malaria", "creators": [ { "creatorType": "author", "firstName": "Amy", "lastName": "Wesolowski" }, { "creatorType": "author", "firstName": "Nathan", "lastName": "Eagle" }, { "creatorType": "author", "firstName": "Andrew J.", "lastName": "Tatem" }, { "creatorType": "author", "firstName": "David L.", "lastName": "Smith" }, { "creatorType": "author", "firstName": "Abdisalan M.", "lastName": "Noor" }, { "creatorType": "author", "firstName": "Robert W.", "lastName": "Snow" }, { "creatorType": "author", "firstName": "Caroline O.", "lastName": "Buckee" } ], "abstractNote": "Human movements contribute to the transmission of malaria on spatial scales that exceed the limits of mosquito dispersal. Identifying the sources and sinks of imported infections due to human travel and locating high-risk sites of parasite importation could greatly improve malaria control programs. Here, we use spatially explicit mobile phone data and malaria prevalence information from Kenya to identify the dynamics of human carriers that drive parasite importation between regions. Our analysis identifies importation routes that contribute to malaria epidemiology on regional spatial scales.", "publicationTitle": "Science", "publisher": "", "place": "", "date": "10/12/2012", "volume": "338", "issue": "6104", "section": "", "partNumber": "", "partTitle": "", "pages": "267-270", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Science", "DOI": "10.1126/science.1223467", "citationKey": "", "url": "http://www.sciencemag.org/content/338/6104/267", "accessDate": "2013-04-09T01:02:34Z", "PMID": "", "PMCID": "", "ISSN": "0036-8075, 1095-9203", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "www.sciencemag.org", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "8IZ7U273" ], "relations": {}, "dateAdded": "2014-08-06T00:02:09Z", "dateModified": "2014-08-06T00:02:09Z" } }, { "key": "F3IWHVXD", "version": 20, "library": { "type": "group", "id": 276965, "name": "mobility-prediction", "links": { "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/276965/items/F3IWHVXD", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/mobility-prediction/items/F3IWHVXD", "type": "text/html" } }, "meta": { "createdByUser": { "id": 16542, "username": "jblumenstock", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/jblumenstock", "type": "text/html" } } }, "creatorSummary": "Lu et al.", "parsedDate": "2013-10-11", "numChildren": 0 }, "data": { "key": "F3IWHVXD", "version": 20, "itemType": "journalArticle", "title": "Approaching the Limit of Predictability in Human Mobility", "creators": [ { "creatorType": "author", "firstName": "Xin", "lastName": "Lu" }, { "creatorType": "author", "firstName": "Erik", "lastName": "Wetter" }, { "creatorType": "author", "firstName": "Nita", "lastName": "Bharti" }, { "creatorType": "author", "firstName": "Andrew J.", "lastName": "Tatem" }, { "creatorType": "author", "firstName": "Linus", "lastName": "Bengtsson" } ], "abstractNote": "", "publicationTitle": "Scientific Reports", "publisher": "", "place": "", "date": "2013-10-11", "volume": "3", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "", "DOI": "10.1038/srep02923", "citationKey": "", "url": "http://eprints.soton.ac.uk/358821/", "accessDate": "2013-10-30T03:20:49Z", "PMID": "", "PMCID": "", "ISSN": "2045-2322", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "CrossRef", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [ "8IZ7U273" ], "relations": {}, "dateAdded": "2014-08-05T23:52:58Z", "dateModified": "2014-08-05T23:52:58Z" } } ]