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Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

Overview of attention for article published in Nature, June 2007
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Citations

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3908 Dimensions

Readers on

mendeley
8628 Mendeley
citeulike
94 CiteULike
connotea
46 Connotea
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Title
Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project
Published in
Nature, June 2007
DOI 10.1038/nature05874
Pubmed ID
Abstract

We report the generation and analysis of functional data from multiple, diverse experiments performed on a targeted 1% of the human genome as part of the pilot phase of the ENCODE Project. These data have been further integrated and augmented by a number of evolutionary and computational analyses. Together, our results advance the collective knowledge about human genome function in several major areas. First, our studies provide convincing evidence that the genome is pervasively transcribed, such that the majority of its bases can be found in primary transcripts, including non-protein-coding transcripts, and those that extensively overlap one another. Second, systematic examination of transcriptional regulation has yielded new understanding about transcription start sites, including their relationship to specific regulatory sequences and features of chromatin accessibility and histone modification. Third, a more sophisticated view of chromatin structure has emerged, including its inter-relationship with DNA replication and transcriptional regulation. Finally, integration of these new sources of information, in particular with respect to mammalian evolution based on inter- and intra-species sequence comparisons, has yielded new mechanistic and evolutionary insights concerning the functional landscape of the human genome. Together, these studies are defining a path for pursuit of a more comprehensive characterization of human genome function.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 8,628 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 141 2%
United Kingdom 53 <1%
Brazil 31 <1%
Germany 26 <1%
Spain 23 <1%
Indonesia 19 <1%
France 18 <1%
India 17 <1%
Mexico 13 <1%
Other 201 2%
Unknown 8086 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1885 22%
Student > Master 1315 15%
Student > Ph. D. Student 1290 15%
Researcher 1241 14%
Student > Postgraduate 880 10%
Other 1833 21%
Unknown 184 2%
Readers by discipline Count As %
Medicine and Dentistry 4646 54%
Agricultural and Biological Sciences 2258 26%
Biochemistry, Genetics and Molecular Biology 754 9%
Computer Science 158 2%
Nursing and Health Professions 91 1%
Other 419 5%
Unknown 302 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 150. 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 12 November 2020.
All research outputs
#140,038
of 16,342,103 outputs
Outputs from Nature
#10,974
of 76,930 outputs
Outputs of similar age
#134,748
of 15,276,363 outputs
Outputs of similar age from Nature
#10,703
of 75,955 outputs
Altmetric has tracked 16,342,103 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 76,930 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 88.2. This one has done well, scoring higher than 85% 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 15,276,363 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 75,955 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.