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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome wide in silico analysis of Plasmodium falciparum phosphatome
|
|---|---|
| Published in |
BMC Genomics, November 2014
|
| DOI | 10.1186/1471-2164-15-1024 |
| Pubmed ID | |
| Authors |
Rajan Pandey, Asif Mohmmed, Christine Pierrot, Jamal Khalife, Pawan Malhotra, Dinesh Gupta |
| Abstract |
Eukaryotic cellular machineries are intricately regulated by several molecular mechanisms involving transcriptional control, post-translational control and post-translational modifications of proteins (PTMs). Reversible protein phosphorylation/dephosphorylation process, which involves kinases as well as phosphatases, represents an important regulatory mechanism for diverse pathways and systems in all organisms including human malaria parasite, Plasmodium falciparum. Earlier analysis on P. falciparum protein-phosphatome revealed presence of 34 phosphatases in Plasmodium genome. Recently, we re-analysed P. falciparum phosphatome aimed at identifying parasite specific phosphatases. |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 50 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 24% |
| Student > Master | 7 | 14% |
| Student > Postgraduate | 6 | 12% |
| Researcher | 6 | 12% |
| Student > Bachelor | 4 | 8% |
| Other | 7 | 14% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 31% |
| Biochemistry, Genetics and Molecular Biology | 11 | 22% |
| Medicine and Dentistry | 8 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Computer Science | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 28 November 2014.
All research outputs
#14,790,240
of 22,771,140 outputs
Outputs from BMC Genomics
#6,130
of 10,641 outputs
Outputs of similar age
#203,307
of 361,642 outputs
Outputs of similar age from BMC Genomics
#135
of 248 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,641 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 361,642 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 248 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.