Here's how NATURE.COM makes money* and how much!

*Please read our disclaimer before using our estimates.
Loading...

NATURE . COM {}

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Nature.com Make Money
  6. How Much Does Nature.com Make
  7. Keywords
  8. Topics
  9. Questions
  10. Schema
  11. Social Networks
  12. External Links
  13. Analytics And Tracking
  14. Libraries
  15. Hosting Providers
  16. CDN Services

We are analyzing https://www.nature.com/articles/nbt.3711.

Title:
Revealing the vectors of cellular identity with single-cell genomics | Nature Biotechnology
Description:
Computational methods for analyzing single-cell data are uncovering new ways of defining cells. Single-cell genomics has now made it possible to create a comprehensive atlas of human cells. At the same time, it has reopened definitions of a cell
Website Age:
30 years and 10 months (reg. 1994-08-11).

Matching Content Categories {📚}

  • Education
  • Science
  • Telecommunications

Content Management System {📝}

What CMS is nature.com built with?

Custom-built

No common CMS systems were detected on Nature.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of nature.com audience?

🌆 Monumental Traffic: 20M - 50M visitors per month


Based on our best estimate, this website will receive around 42,194,993 visitors per month in the current month.

check SE Ranking
check Ahrefs
check Similarweb
check Ubersuggest
check Semrush

How Does Nature.com Make Money? {💸}


Display Ads {🎯}


The website utilizes display ads within its content to generate revenue. Check the next section for further revenue estimates.

Ads are managed by yourbow.com. Particular relationships are as follows:

Direct Advertisers (10)
google.com, pmc.com, doceree.com, yourbow.com, audienciad.com, onlinemediasolutions.com, advibe.media, aps.amazon.com, getmediamx.com, onomagic.com

Reseller Advertisers (38)
conversantmedia.com, rubiconproject.com, pubmatic.com, appnexus.com, openx.com, smartadserver.com, lijit.com, sharethrough.com, video.unrulymedia.com, google.com, yahoo.com, triplelift.com, onetag.com, sonobi.com, contextweb.com, 33across.com, indexexchange.com, media.net, themediagrid.com, adform.com, richaudience.com, sovrn.com, improvedigital.com, freewheel.tv, smaato.com, yieldmo.com, amxrtb.com, adyoulike.com, adpone.com, criteo.com, smilewanted.com, 152media.info, e-planning.net, smartyads.com, loopme.com, opera.com, mediafuse.com, betweendigital.com

How Much Does Nature.com Make? {💰}


Display Ads {🎯}

$531,700 per month
Estimations show Nature.com's display ad online revenue falls between $354,480 and $974,820 per month.

Keywords {🔍}

pubmed, article, google, scholar, cas, central, singlecell, cell, nat, data, expression, analysis, sequencing, gene, nature, cells, rnaseq, methods, science, single, reveals, biol, genome, biotechnol, rna, human, usa, cellular, genet, sci, bioinformatics, rev, proc, stem, res, natl, acad, noise, heterogeneity, regev, experiments, profiling, institute, identity, computational, access, control, transcriptomics, regulatory, mammalian,

Topics {✒️}

permissions reprints nature portfolio privacy policy standard library preparations quantitative single-cell rna-seq single-cell rna-seq reveals single-cell rna-seq supports advertising single-cell rna-sequencing data single-cell rna-seq data single-cell sequencing-based technologies single-cell rna-seq experiments thermo fisher scientific social media high-dimensional single-cell analysis large-scale single-cell data single-cell transcriptomics reveals scientific advisory board single-cell rna sequencing single-cell rna-seq single-cell exome sequencing single-cell sequencing technologies single-cell cancer genomics single-cell sequencing data single-cell sequencing experiments single-cell transcriptome data single-cell methylome landscapes system wide analyses single-cell transcriptomics applied full-length mrna-seq single-cell experiments continues epigenomic cell-state dynamics early blood development single-cell expression profiling single-cell mutational profiling jak2-negative myeloproliferative neoplasm optimized single-molecule barcodes single-cell genome sequencing combined single-cell functional high-dimensional cytometry data conditional density-based analysis continuous dynamic transitions single-neuron sequencing analysis single-cell mass cytometry single-cell genomics visualizing high-dimensional data author correspondence kernel-based similarity learning cortical development rna-seq data

Questions {❓}

  • Cellular heterogeneity: do differences make a difference?
  • When is “nearest neighbor” meaningful?

Schema {🗺️}

WebPage:
      mainEntity:
         headline:Revealing the vectors of cellular identity with single-cell genomics
         description:Computational methods for analyzing single-cell data are uncovering new ways of defining cells. Single-cell genomics has now made it possible to create a comprehensive atlas of human cells. At the same time, it has reopened definitions of a cell's identity and of the ways in which identity is regulated by the cell's molecular circuitry. Emerging computational analysis methods, especially in single-cell RNA sequencing (scRNA-seq), have already begun to reveal, in a data-driven way, the diverse simultaneous facets of a cell's identity, from discrete cell types to continuous dynamic transitions and spatial locations. These developments will eventually allow a cell to be represented as a superposition of 'basis vectors', each determining a different (but possibly dependent) aspect of cellular organization and function. However, computational methods must also overcome considerable challenges—from handling technical noise and data scale to forming new abstractions of biology. As the scale of single-cell experiments continues to increase, new computational approaches will be essential for constructing and characterizing a reference map of cell identities.
         datePublished:2016-11-08T00:00:00Z
         dateModified:2016-11-08T00:00:00Z
         pageStart:1145
         pageEnd:1160
         sameAs:https://doi.org/10.1038/nbt.3711
         keywords:
            Cellular noise
            Computer science
            Gene regulatory networks
            Statistical methods
            Transcriptomics
            Life Sciences
            general
            Biotechnology
            Biomedicine
            Agriculture
            Biomedical Engineering/Biotechnology
            Bioinformatics
         image:
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1038%2Fnbt.3711/MediaObjects/41587_2016_Article_BFnbt3711_Fig1_HTML.jpg
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1038%2Fnbt.3711/MediaObjects/41587_2016_Article_BFnbt3711_Fig2_HTML.jpg
            https://media.springernature.com/lw1200/springer-static/image/art%3A10.1038%2Fnbt.3711/MediaObjects/41587_2016_Article_BFnbt3711_Fig3_HTML.jpg
         isPartOf:
            name:Nature Biotechnology
            issn:
               1546-1696
               1087-0156
            volumeNumber:34
            type:
               Periodical
               PublicationVolume
         publisher:
            name:Nature Publishing Group US
            logo:
               url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
               type:ImageObject
            type:Organization
         author:
               name:Allon Wagner
               affiliation:
                     name:University of California
                     address:
                        name:Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, USA
                        type:PostalAddress
                     type:Organization
               type:Person
               name:Aviv Regev
               affiliation:
                     name:Howard Hughes Medical Institute, Massachusetts Institute of Technology
                     address:
                        name:Department of Biology, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, USA
                        type:PostalAddress
                     type:Organization
                     name:Broad Institute of MIT and Harvard
                     address:
                        name:Broad Institute of MIT and Harvard, Cambridge, USA
                        type:PostalAddress
                     type:Organization
               email:[email protected]
               type:Person
               name:Nir Yosef
               affiliation:
                     name:University of California
                     address:
                        name:Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, USA
                        type:PostalAddress
                     type:Organization
                     name:Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University
                     address:
                        name:Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Boston, USA
                        type:PostalAddress
                     type:Organization
               type:Person
         isAccessibleForFree:
         hasPart:
            isAccessibleForFree:
            cssSelector:.main-content
            type:WebPageElement
         type:ScholarlyArticle
      context:https://schema.org
ScholarlyArticle:
      headline:Revealing the vectors of cellular identity with single-cell genomics
      description:Computational methods for analyzing single-cell data are uncovering new ways of defining cells. Single-cell genomics has now made it possible to create a comprehensive atlas of human cells. At the same time, it has reopened definitions of a cell's identity and of the ways in which identity is regulated by the cell's molecular circuitry. Emerging computational analysis methods, especially in single-cell RNA sequencing (scRNA-seq), have already begun to reveal, in a data-driven way, the diverse simultaneous facets of a cell's identity, from discrete cell types to continuous dynamic transitions and spatial locations. These developments will eventually allow a cell to be represented as a superposition of 'basis vectors', each determining a different (but possibly dependent) aspect of cellular organization and function. However, computational methods must also overcome considerable challenges—from handling technical noise and data scale to forming new abstractions of biology. As the scale of single-cell experiments continues to increase, new computational approaches will be essential for constructing and characterizing a reference map of cell identities.
      datePublished:2016-11-08T00:00:00Z
      dateModified:2016-11-08T00:00:00Z
      pageStart:1145
      pageEnd:1160
      sameAs:https://doi.org/10.1038/nbt.3711
      keywords:
         Cellular noise
         Computer science
         Gene regulatory networks
         Statistical methods
         Transcriptomics
         Life Sciences
         general
         Biotechnology
         Biomedicine
         Agriculture
         Biomedical Engineering/Biotechnology
         Bioinformatics
      image:
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1038%2Fnbt.3711/MediaObjects/41587_2016_Article_BFnbt3711_Fig1_HTML.jpg
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1038%2Fnbt.3711/MediaObjects/41587_2016_Article_BFnbt3711_Fig2_HTML.jpg
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1038%2Fnbt.3711/MediaObjects/41587_2016_Article_BFnbt3711_Fig3_HTML.jpg
      isPartOf:
         name:Nature Biotechnology
         issn:
            1546-1696
            1087-0156
         volumeNumber:34
         type:
            Periodical
            PublicationVolume
      publisher:
         name:Nature Publishing Group US
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Allon Wagner
            affiliation:
                  name:University of California
                  address:
                     name:Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, USA
                     type:PostalAddress
                  type:Organization
            type:Person
            name:Aviv Regev
            affiliation:
                  name:Howard Hughes Medical Institute, Massachusetts Institute of Technology
                  address:
                     name:Department of Biology, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, USA
                     type:PostalAddress
                  type:Organization
                  name:Broad Institute of MIT and Harvard
                  address:
                     name:Broad Institute of MIT and Harvard, Cambridge, USA
                     type:PostalAddress
                  type:Organization
            email:[email protected]
            type:Person
            name:Nir Yosef
            affiliation:
                  name:University of California
                  address:
                     name:Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, USA
                     type:PostalAddress
                  type:Organization
                  name:Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University
                  address:
                     name:Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Boston, USA
                     type:PostalAddress
                  type:Organization
            type:Person
      isAccessibleForFree:
      hasPart:
         isAccessibleForFree:
         cssSelector:.main-content
         type:WebPageElement
["Periodical","PublicationVolume"]:
      name:Nature Biotechnology
      issn:
         1546-1696
         1087-0156
      volumeNumber:34
Organization:
      name:Nature Publishing Group US
      logo:
         url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
         type:ImageObject
      name:University of California
      address:
         name:Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, USA
         type:PostalAddress
      name:Howard Hughes Medical Institute, Massachusetts Institute of Technology
      address:
         name:Department of Biology, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, USA
         type:PostalAddress
      name:Broad Institute of MIT and Harvard
      address:
         name:Broad Institute of MIT and Harvard, Cambridge, USA
         type:PostalAddress
      name:University of California
      address:
         name:Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, USA
         type:PostalAddress
      name:Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University
      address:
         name:Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Boston, USA
         type:PostalAddress
ImageObject:
      url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
Person:
      name:Allon Wagner
      affiliation:
            name:University of California
            address:
               name:Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, USA
               type:PostalAddress
            type:Organization
      name:Aviv Regev
      affiliation:
            name:Howard Hughes Medical Institute, Massachusetts Institute of Technology
            address:
               name:Department of Biology, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, USA
               type:PostalAddress
            type:Organization
            name:Broad Institute of MIT and Harvard
            address:
               name:Broad Institute of MIT and Harvard, Cambridge, USA
               type:PostalAddress
            type:Organization
      email:[email protected]
      name:Nir Yosef
      affiliation:
            name:University of California
            address:
               name:Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, USA
               type:PostalAddress
            type:Organization
            name:Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University
            address:
               name:Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Boston, USA
               type:PostalAddress
            type:Organization
PostalAddress:
      name:Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, USA
      name:Department of Biology, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, USA
      name:Broad Institute of MIT and Harvard, Cambridge, USA
      name:Department of Electrical Engineering and Computer Science and the Center for Computational Biology, University of California, Berkeley, USA
      name:Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Boston, USA
WebPageElement:
      isAccessibleForFree:
      cssSelector:.main-content

Social Networks {👍}(2)

External Links {🔗}(776)

Analytics and Tracking {📊}

  • Google Tag Manager

Libraries {📚}

  • AOS
  • Prism.js
  • Zoom.js

Emails and Hosting {✉️}

Mail Servers:

  • mxa-002c5801.gslb.pphosted.com
  • mxb-002c5801.gslb.pphosted.com

Name Servers:

  • pdns1.ultradns.net
  • pdns2.ultradns.net
  • pdns3.ultradns.org
  • pdns4.ultradns.org
  • pdns5.ultradns.info
  • pdns6.ultradns.co.uk

CDN Services {📦}

  • Crossref

7.01s.